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611 results about "Image scale" patented technology

Digital skin lesion imaging system and method

InactiveUS7162063B1Easy to useReadily accurately identifyImage enhancementImage analysisDisplay deviceImage scale
New or significantly changed skin lesions are detected by providing digital baseline image data of an area of a subject's skin by placing a calibration piece on the area and then positioning a digital camera to frame the area within a field of view of the camera and digitally photographing the area to produce a digital baseline image of the area. The digital baseline image is downloaded from the camera to a computer, which digitally filters the baseline image to produce a partially transparent baseline image scaled to fit over a viewfinder display of the camera. The filtered baseline image is printed on a transparent sheet to produce template. Substantially later, a calibration piece is placed on the area, and the template is placed over the viewfinder display of the camera. The camera is positioned to frame that area within the field of view so as to align a live image of the area with the baseline image on the template. The area is photographed to produce a digital current image thereof. The current image is downloaded to the computer, which is operated to alternately display the aligned current image data and the baseline image data to allow visual identification of lesions which changed enough in the “alternating image comparison display” to identify a new or significantly growing lesion.
Owner:WESTERN RES

Ultra-high bandwidth multi-port memory system for image scaling applications

The image scaling memory system of the present invention eliminates the use of internal or external line memories by using an existing frame memory coupled with an input buffer and a plurality of output buffers for providing a vertical scalar with simultaneous parallel access to multiple lines of data. Additionally, the image scaling memory system of the present invention, including the frame memory, is embedded into an integrated circuit. Thus, the image scaling circuit of the present invention improves reliability, lowers cost, and improves silicon area usage. The frame memory is coupled to an input buffer at an input side and a plurality of output buffers at an output side. The plurality of output buffers is positioned between the frame memory and the vertical scalar. Each output buffer sequentially gains access to and transfers portions of image lines from the frame buffer. Each output buffer stores only a portion of an image line resulting in relatively small output buffers. The plurality of output buffers provides the vertical scalar with simultaneous parallel access to multiple lines of buffered digital image data. The frame memory preferably comprises DRAM that stores the image data such that row faults are minimized. The DRAM frame memory preferably includes at least two memory banks, each including a plurality of rows and a plurality of columns. The DRAM frame memory has multiple purposes including storing digital image data frames for sample rate conversion, as well as, storing bitmaps for access by an On Screen Display controller and storing microprocessor data for access by a microprocessor.
Owner:PIXELWORKS

Image salient region detection method based on joint sparse multi-scale fusion

InactiveCN104392463AOvercome the shortcomings of observing different salient regionsOvercoming the disadvantages of different salient areasImage enhancementImage analysisImage scaleComputer science
The invention belongs to the technical field of image salient region detection and particularly discloses an image salient region detection method based on joint sparse multi-scale fusion. The image salient region detection method comprises the following steps: (1) constructing a multilayer Gaussian pyramid for a training image to realize multi scales and training to obtain a dictionary under each scale; (2) obtaining an image block of each pixel point in a test image and carrying out joint sparse solution of a sparse representation coefficient of the image block under each scale; (3) taking the sparse representation coefficient as a feature to carry out saliency calculation; (4) fusing salient results under the multi sales to obtain a final salient image. The image salient region detection method has the benefits that the purpose of extracting a region capable of catching people's eyes in any given image is realized; the image salient region detection method has the advantages that firstly, the effect under different image scales is overcome under multi-scale operation; secondly, a joint sparse framework is very beneficial to saliency calculation; experiments show that the results obtained by the method have better robustness and are inferior to those obtained according to most of the conventional methods.
Owner:XIDIAN UNIV

Method and system for digital image magnification and reduction

An image scaling system for converting a sampling rate of an input video signal comprising input pixel data to produce a magnified or reduced output video image comprising output pixel data includes a first one-dimensional image scaler comprising a single-stage finite-duration impulse response (FIR) filter structure with poly-phase filter responses that receives and scales the input pixel data by a scaling factor in either a horizontal or vertical direction to produce output pixel data and a second one-dimensional image scaler comprising a single-stage FIR filter structure that is coupled in tandem to the first one-dimensional image scaler and scales by the scaling factor the output pixel data from the first one-dimensional image scaler in a direction perpendicular to that of the first one-dimensional image scaler to produce the magnified or reduced output video image. Each of the first and second one-dimensional image scalers includes a reconfigurable interpolation unit that allows each single-stage FIR filter structure to switch back and forth between operating in a direct-form FIR filter mode and a transposed-form FIR filter mode while using a fixed set of system resources such that a wide range of image magnification and reduction scaling factors can be achieved using the fixed set of system resources.
Owner:CORONA

Automatic focusing method and image collecting device

The invention discloses an automatic focusing method and an image acquisition device, wherein the device comprises at least one imaging lens, at least one focusing lens, a photosensitive device and a focal length regulation mechanism. The method comprises the following steps that: A. according to the actual scale of an object, the actual scale of an image formed on the photosensitive device by the object and the distance between the photosensitive device and the imaging lens, the product of the distance between the photosensitive device and the imaging lens and the actual object scale divided by the sum of the actual object scale and the actual image scale equals a focusing focal length estimation value FF; B. the focal length regulation mechanism is regulated to allow the focal length to reach the focusing focal length estimation value FF; C. the focal length is fine-adjusted to a plurality of focal length positions around the focusing focal length estimation value FF; the focusing estimation value of the image formed on each focal length position is calculated, and the focal length corresponding to the maximum focusing estimation value is taken as an accurate focusing focal length MF; D. the focal length regulation mechanism is regulated to allow the focal length to reach the accurate focusing focal length MF, and then the automatic focusing process is accomplished.
Owner:BEIJING VIMICRO ARTIFICIAL INTELLIGENCE CHIP TECH CO LTD

Method and system for detecting pedestrian in front of vehicle

The invention discloses a method and a system for detecting the pedestrian in front of a vehicle. The method comprises the steps of image acquisition and preprocessing, image scaling, LBP (Local Binary Pattern) and HOG (Histogram of Oriented Gradient) feature extraction, region of interest extraction, target identification, and target fusion and early warning. A driver is reminded timely at the presence of the pedestrian in front of the vehicle. The system for detecting the pedestrian in front of the vehicle comprises three portions which are an image acquisition unit, an SOPC (System on Programmable Chip) unit and an ASIC (Application Specific Integrated Circuit) unit, wherein the image acquisition unit is a camera unit, the SOPC unit comprises an image preprocessing unit, a region of interest extraction unit, a target identification unit, and a target fusion and early warning unit, and the ASIC unit comprises an image scaling unit, an LBP feature extraction unit and an HOG feature extraction unit. According to the invention, LBP features and HOG features are used in a joint manner, and two-level detection improves the accuracy of pedestrian detection on the whole; and HOG feature extraction is dynamically adjusted according to classification conditions of an LBP based SVM (Support Vector Machine), the calculation amount is reduced, the calculation speed is improved, and the driving safety of the vehicle is improved.
Owner:SHANGHAI UNIV
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