1049 results about "Image type" patented technology

A graphical user interface (“GUI”) for a third-party application can be presented on accessory device that has user input and display devices. The GUI can be defined and managed by a portable media device. The portable media device can define one or more GUI image types for the third-party application. The accessory can choose one of the pre-defined GUI image types and receive a remote GUI image that conforms to the selected GUI image type from the portable media device. Alternatively, the accessory can specify the layout and contents of the GUI image that it needs, and the portable media device can generate and send a GUI image according to the accessory's specification.

Methods and apparatus to automatically generate an image quality metric for an image are provided. An example method includes automatically processing a first medical image using a deployed learning network model to generate an image quality metric for the first medical image, the deployed learning network model generated from a digital learning and improvement factory including a training network, wherein the training network is tuned using a set of labeled reference medical images of a plurality of image types, and wherein a label associated with each of the labeled reference medical images indicates a central tendency metric associated with image quality of the image. The example method includes computing the image quality metric associated with the first medical image using the deployed learning network model by leveraging labels and associated central tendency metrics to determine the associated image quality metric for the first medical image.

The present invention provides a method for transmission of a images and / or video over bandwidth limited transmission channels having varying available bandwidth, which method comprises the use of a classification algorithm for decomposing the images and / or video to be transmitted into multiple spatial areas, each area having a specific image type; detecting the image type of each of those areas separately selecting for each of those areas an image and / or video encoding algorithm having a compression ratio. The classification algorithm prioritizes each of the areas, the classification algorithm increasing the compression ratio of the image and / or video encoding algorithm dedicated to spatial areas having lower priority in case of decreasing bandwidth.

An image-type intubation-aiding device comprises a small-size image sensor and a light source module both placed into an endotracheal tube to help doctors with quick intubation. Light from light emission devices in the light source module passes through a transparent housing and is reflected by a target and then focused. The optical signal is converted into a digital or analog electric signal by the image sensor for displaying on a display device after processing. Doctors can thus be helped to quickly find the position of trachea, keep an appropriate distance from a patient for reducing the possibility of infection, and lower the medical treatment cost. Disposable products are available to avoid the problem of infection. The intubation-aiding device can be used as an electronic surgical image examination instrument for penetration into a body. Moreover, a light source with tunable wavelengths can be used to increase the spot ratio of nidus.

A system and method indexes an image database by partitioning an image thereof into a plurality of cells, combining the cells into intervals and then spots according to perceptual criteria, and generating a set of spot descriptors that characterize the perceptual features of the spots, such as their shape, color and relative position within the image. The shape preferably is a derivative of the coefficients of a Discrete Fourier Transform (DFT) of the perimeter trace of the spot. The set of spot descriptors forms as an index entry for the spot. This process repeated for the various images of the database. To search the index, a key comprising a set of spot descriptors for a query image is generated and compared according to a perceptual similarity metric to the entries of the index. The metric determines the perceptual similarity that the features of the query image match those of the indexed image. The search results are presented as a scored list of the indexed images. A wide variety of image types can be indexed and searched, including: bi-tonal, gray-scale, color, “real scene” originated, and artificially generated images. Continuous-tone “real scene” images such as digitized still pictures and video frames are of primary interest. There are stand alone and networked embodiments. A hybrid embodiment generates keys locally and performs image and index storage and perceptual comparison on a network or web server.

A web-based image detection system includes: an image capture device, a web browser, a plug-in, and a recognition server. A captured image is processed by the plug-in to assess whether a pre-determined content type is contained with in the image. Once an initial analysis at the browser plug-in detects a pre-determined content type in an image, the image is transmitted to a recognition server for content recognition of the image by content type. The system thus enables users to link documents or other image types to electronic data using only a capture device and a web browser.

The method operates by estimating the differential movement of the scene picked up by a vertically-oriented camera. Estimation includes periodically and continuously updating a multiresolution representation of the pyramid of images type modeling a given picked-up image of the scene at different, successively-decreasing resolutions. For each new picked-up image, an iterative algorithm of the optical flow type is applied to said representation. The method also provides responding to the data produced by the optical-flow algorithm to obtain at least one texturing parameter representative of the level of microcontrasts in the picked-up scene and obtaining an approximation of the speed, to which parameters a battery of predetermined criteria are subsequently applied. If the battery of criteria is satisfied, then the system switches from the optical-flow algorithm to an algorithm of the corner detector type.

An image-type intubation-aiding device comprises a small-size image sensor and a light source module both placed into an endotracheal tube to help doctors with quick intubation. Light from light emission devices in the light source module passes through a transparent housing and is reflected by a target and then focused. The optical signal is converted into a digital or analog electric signal by the image sensor for displaying on a display device after processing. Doctors can thus be helped to quickly find the position of trachea, keep an appropriate distance from a patient for reducing the possibility of infection, and lower the medical treatment cost. Disposable products are available to avoid the problem of infection. The intubation-aiding device can be used as an electronic surgical image examination instrument for penetration into a body. Moreover, a light source with tunable wavelengths can be used to increase the spot ratio of nidus.

The present invention discloses a method and device for data processing based on a block chain. The method comprises: when a block chain node receives business data to be stored, determining the data attributes of the business data; if the data attributes of the business data is a text type, employing a preset private key in a public and private key pair corresponding to the user identification included in the business data to perform encryption processing of the business data; and if the data attributes of the business data is an image type, determining the abstract of the business data, and employing preset private key in a public and private key pair corresponding to the user identification included in the business data to perform encryption processing of the abstract. The features of decentration, openness and transparency, tamper resistance and dependability of the block chain technology are employed to employ different processing modes according to the data attributes of the business data to store the business data into the block chain network so as to ensure the business data authenticity and ensure that the business data is not tampered.

A 3D image may be segmented based on one or more intensity thresholds determined from a subset of the voxels in the 3D image. The subset may contain voxels in a 2D reference slice. A low threshold and a high threshold may be used for segmenting an image, and they may be determined using different thresholding methods, depending on the image type. In one method, two sets of bordering pixels are selected from an image. A statistical measure of intensity of each set of pixels is determined. An intensity threshold value is calculated from the statistical measures for segmenting the image. In another method, the pixels of an image are clustered into clusters of different intensity ranges. An intensity threshold for segmenting the image is calculated as a function of a mean intensity and a standard deviation for pixels in one of the clusters. A further method is a supervised range-constrained thresholding method.

The present technique provides a system and method for efficiently customizing an imaging system, such as a medical diagnostic imaging system. Based on images typically produced by one or more imaging systems, the present technique forms a plurality of image subject matter groups each having a plurality of related image types / views and one representative image type / view. Each customer is then provided with a plurality of predefined image style options for each of the plurality of representative image types / views. The predefined image style selected for each of the plurality of representative image types / views is then applied to each of the plurality of related image types / views in the respective image subject matter group. The imaging system is then automatically customized based on the foregoing predefined image style selections.

A system and method indexes an image database by partitioning an image thereof into a plurality of cells, combining the cells into intervals and then spots according to perceptual criteria, and generating a set of spot descriptors that characterize the perceptual features of the spots, such as their shape, color and relative position within the image. The shape preferably is a derivative of the coefficients of a Discrete Fourier Transform (DFT) of the perimeter trace of the spot. The set of spot descriptors forms as an index entry for the spot. This process repeated for the various images of the database. To search the index, a key comprising a set of spot descriptors for a query image is generated and compared according to a perceptual similarity metric to the entries of the index. The metric determines the perceptual similarity that the features of the query image match those of the indexed image. The search results are presented as a scored list of the indexed images. A wide variety of image types can be indexed and searched, including: bi-tonal, gray-scale, color, "real scene" originated, and artificially generated images. Continuous-tone "real scene" images such as digitized still pictures and video frames are of primary interest. There are stand alone and networked embodiments. A hybrid embodiment generates keys locally and performs image and index storage and perceptual comparison on a network or web server.

Visual objects can be classified according to image type. In one embodiment, the present invention includes capturing a visual object, and decompressing the visual object to a colorspace representation exposing each pixel. The contribution of each pixel to a plurality of image types can then be determined. Then, the contributions can be combined, and the image type of the visual object can be determined based on the contributions.

A printing system enables the printing of enhanced documents using a semantic classification scheme. A printing system receives an image to be printed. The system classifies the image according to the semantic classification scheme and, based on this classification, performs enhancement processing on the image. Depending on the desired application, the printing system may recognize and classify any number of image types and may then perform various enhancement processing functions on the image, where the type of enhancement processing performed is based on the classification of the image.

This invention has as its object to provide an image processing apparatus, which can obviate the need for image re-input, can effectively generate encoded data that falls within a set size, and can minimize deterioration of image quality. To this end, an image processing apparatus according to this invention includes first discrimination unit for discriminating the type of image of each of a plurality of regions, which form image data input, second discrimination unit for discriminating if the image data is inputted by a continuous scan of images, selection unit for selecting an encoding method used in compression of each region on the basis of discrimination results of the first and second discrimination unit, first compression unit for compressing image data of each region using the encoding method selected by the selection unit, and second compression unit for compressing information that pertains to the type of image of each region.

A web-based image detection system includes: an image capture device, a web browser, a plug-in, and a recognition server. A captured image is processed by the plug-in to assess whether a pre-determined content type is contained with in the image. Once an initial analysis at the browser plug-in detects a pre-determined content type in an image, the image is transmitted to a recognition server for content recognition of the image by content type. The system thus enables users to link documents or other image types to electronic data using only a capture device and a web browser.

The present invention discloses a system and method for adaptive adjustment of bit budget that favors the allocation of bits to intra coding frames (I frames). Namely, an encoder is able to dynamically adjust the bit budget for each picture type in an image sequence, thereby effecting proper usage of the available transmission bandwidth and improving the picture quality. In one embodiment, the present invention will allocate more encoding bandwidth to a current Intra coding frame when the average quantization level of inter coding frames (e.g., P and B frames) of a previous group of pictures is relatively high.

The invention discloses a method of monitoring image mark quality and an apparatus thereof. The method comprises the following steps of executing an acquisition step and acquiring accuracy of mark data of a single task; issuing an image to be marked to a mark account, wherein the image to be marked includes a sample image of a predetermined proportion; acquiring manual mark data of the image to be marked, wherein the manual mark data includes current mark data of the sample image; acquiring an accurate specific value of the current mark data relative to standard mark data of the sample image; responding to the specific value which is greater than a pre-determined value; inputting the image to be marked into a picture identification model so as to acquire automatic mark data; comparing the manual mark data and the automatic mark data so as to acquire accuracy of the mark data of the single task; calculating a variance of the accuracy of mark data of multiple tasks and preset average mark accuracy; and based on the variance, determining the number of the sample images issued to the mark account and / or determining an image type suitable for marking of the mark account. Efficiency and accuracy of mark result detection are high.

The invention discloses an image type fire flame identification method. The method comprises the following steps of 1, image capturing; 2, image processing. The image processing comprises the steps of 201, image preprocessing; 202, fire identifying. The fire identifying comprises the steps that indentifying is conducted by the adoption of a prebuilt binary classification model, the binary classification model is a support vector machine model for classifying the flame situation and the non-flame situation, wherein the building process of the binary classification model comprises the steps of I, image information capturing;II, feature extracting; III, training sample acquiring; IV, binary classification model building; IV-1, kernel function selecting; IV-2, classification function determining, optimizing parameter C and parameter D by the adoption of the conjugate gradient method, converting the optimized parameter C and parameter D into gamma and sigma 2; V, binary classification model training. By means of the image type fire flame identification method, steps are simple, operation is simple and convenient, reliability is high, using effect is good, and the problems that reliability is lower, false or missing alarm rate is higher, using effect is poor and the like in an existing video fire detecting system under a complex environment are solved effectively.

An apparatus of driving a liquid crystal display includes a signal controller. The signal controller has a frame memory and an image type detector. The signal controller compares image data for a present frame from an external device with image data for a previous frame stored in the frame memory and determines whether the image data represent still image. If the image data represent a sill image, the signal controller suspends a predetermined control operation and also suspends supply voltages to elements required for the predetermined control operation.

The invention refers to a method for assessing the horizontal speed of a drone, particularly of a drone capable of hovering on automatic pilot. The method operates by estimating the differential movement of the scene picked up by a vertically-oriented camera. Estimation includes periodically and continuously updating a multiresolution representation of the pyramid of images type modeling a given picked-up image of the scene at different, successively-decreasing resolutions. For each new picked-up image, an iterative algorithm of the optical flow type is applied to said representation. The method also provides responding to the data produced by the optical-flow algorithm to obtain at least one texturing parameter representative of the level of microcontrasts in the picked-up scene and obtaining an approximation of the speed, to which parameters a battery of predetermined criteria are subsequently applied. If the battery of criteria is satisfied, then the system switches from the optical-flow algorithm to an algorithm of the corner detector type.

An image acquisition system has a computer and one or more imaging devices coupled to the computer. Each imaging device has a device memory and is capable of capturing a digital image and storing the image in its memory. An image device manager is implemented in software on the computer to control operation of the imaging devices. The image device manager presents a user interface (UI) within the familiar graphical windowing environment. The UI has a context space that pertains to a particular imaging context (e.g., scanning, photography, and video). The UI also has a persistently-visible imaging menu positioned within the context space that lists options particular to the imaging context. For example, if the context space pertains to the digital camera context, the menu lists options to take a picture, store the image on the computer, send the image in an email, and so on. In the scanner context, the menu lists options to select an image type, preview an image, send the image to a particular destination, and scan the image. The image acquisition system also includes a set of application program interfaces (APIs) that expose image management functionality to applications. The APIs enable applications to manage loading and unloading of imaging devices, monitor device events, query device information properties, create device objects, capture images using the devices, and store or manipulate the images after their capture.

Compressing a data file representing an image wherein one or more regions within the image are identified. At least one of the regions is selected and the data corresponding to the selected region is compressed at a different rate that the data corresponding to non-selected regions of the image. The different compression rates are selected to maintain a desired fidelity in an image reconstructed from the compressed data file. The different compression rates can be predetermined, selected by a user, or automatically selected. Compression rates can be based upon the type of image to be compressed such as x-ray, CT scan or MRI images, the structure that is being analyzed, parameters regarding the use of the image, system parameters such as storage capacity available, or bandwidth of a communication channel used to transmit the compressed file.

The invention discloses an image automatic analysis method for reticulate adhesion rice. The method firstly images rice under the grade of a reference backlight, and enables the reticulate adhesion rice to belong to the different local regions separately through an automatic segmentation. Secondly, the automatic segmentation includes that fat circular rice is carried on a distance transformation and a watershed transformation to be divided, as well as to use a circular template to get the concave angle point of long rice after the long rice is carried out watershed transformation, and the separation line can be determined and the wrong separation line can be removed according to the concave angle point. Different colors is using to color complete polished rice, broken rice and the rice whose length is in the critical region and to color background and chalkiness so as to figure out the grain number, the length, the width and the length to width ratio of each grain, finally, and the entire polished rice rate, the broken rice rate, the chalkiness degree and the chalkiness grain rate, and to form an analysis report. The invention overcomes the problem that the reticulate adhesion rice is difficult to be carried on automated analysis, and removes the limit of the request analysis sample is not in adhesion placing.

Method and system for creating a fused image from an image pair comprising a high resolution panchromatic image and lower resolution multi-spectral image. The method includes obtaining image data (204) defining a first image of a panchromatic image type and a second image of a multi-spectral image type. The first image has a first spatial resolution and a first spectral resolution. The second image has a second spatial resolution which is lower than the first spatial resolution and a second spectral resolution higher than the first spectral resolution. The method also includes a step (212) of concurrently calculating a point-spread function for down-sampling the first image to the second spatial resolution, and a set of weights for down-sampling the second image to the first spectral resolution.

The present invention discloses systems for and methods of transcoding first video data in a first format, such as AVC, into second video data in a second format, such as MPEG-2. A method in accordance with the present invention disables deblocking filters, bypasses macroblock encoding for certain picture types, such as B-pictures, and re-uses motion vectors. In one embodiment, motion vectors for the second video data are set substantially equal to motion vectors for the first video data, when the two differ by less than a threshold value. In other embodiments, only macroblocks that contain all zero-valued blocks bypass the transcoding process, thereby simplifying the transcoding process further. Other embodiments further simplify the transcoding process by requiring that B-pictures are not used as reference pictures, reference pictures in the second video data are restricted to be the same as reference pictures in the first video data, and bi-predictions are not allowed.

Methods and apparatus to automatically generate an image quality metric for an image are provided. An example method includes automatically processing a first medical image using a deployed learning network model to generate an image quality metric for the first medical image, the deployed learning network model generated from a digital learning and improvement factory including a training network, wherein the training network is tuned using a set of labeled reference medical images of a plurality of image types, and wherein a label associated with each of the labeled reference medical images indicates a central tendency metric associated with image quality of the image. The example method includes computing the image quality metric associated with the first medical image using the deployed learning network model by leveraging labels and associated central tendency metrics to determine the associated image quality metric for the first medical image.

In order to obtain three-dimensional images from a digital video stream, certain modifications have been made to the current MPEG2 coders; software and hardware changes in different parts of the coding process are made. In effect, the structures and the video_sequence of the video data stream are modified to include the necessary flags to identify at the bit level the TDVision® technology image type.

Embodiments of methods and apparatuses to improve image capturing are described. In certain embodiments, an apparatus to improve image capturing includes a camera, a processor coupled to the camera, and one or more ambient light sensors coupled to the processor. The one or more ambient light sensors may be located outside the camera. The processor may be configured to obtain first light data using the ambient light sensor, and to determine an image type based on at least the first light data. The processor may be further configured to adjust one or more camera parameters based on the image type. In one embodiment, the apparatus to improve image capturing includes a cell phone coupled to the processor. In one embodiment, the apparatus to improve image capturing is a portable handheld device.