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733 results about "Image contrast" patented technology

Contrast determines the number of shades in the image. A low-contrast image (left) retains detail but tends to lack dimension and looks soft. An image with normal contrast (center) retains detail and dimension, and looks crisp. A high-contrast image (right) loses detail especially in areas with gradated tones, and can look cartoony or posterized.

Multi-target detection method based on short-time Fourier transform and fractional Fourier transform

The invention discloses a multi-target detection method based on short-time Fourier transform and fractional Fourier transform, which belongs to the technical field of the radar target detection. The method comprises the following steps that the short-time Fourier transform is firstly used for conducting the primary detection on a signal, then a binaryzation method is used for processing a primary detection result, phase position of the signal is kept in the processing, the fractional Fourier transform is used for detecting a signal after being restored by the short-time Fourier transform, by adopting multiple methods for combined processing, advantages of overcoming phenomenon that a strong signal side lobe presses a weak signal main lobe, improving the signal-to-noise ratio of the signal to be detected, and solving the problem of the large false alarm possibility which is caused by adopting traditional method to detect the signal at the low signal-to-noise ratio can be realized; and meanwhile, an image contrast method and a gradual elimination method are adopted, multiple strong signals and weak signals with different or identical frequency modulation rates can be detected by utilizing the space and power strength information of the signal, so that the detection probability and the calculation efficiency can be further improved, easiness in project realization is realized, and the method is worth of being adopted and popularized.

Apparatus and method for obtaining topographical dark-field images in a scanning electron microscope

An electron beam apparatus is configured for dark field imaging of a substrate surface. Dark field is defined as an operational mode where the image contrast is sensitive to topographical features on the surface. A source generates a primary electron beam, and scan deflectors are configured to deflect the primary electron beam so as to scan the primary electron beam over the substrate surface whereby secondary and/or backscattered electrons are emitted from the substrate surface, said emitted electrons forming a scattered electron beam. A beam separator is configured to separate the scattered electron beam from the primary electron beam. The apparatus includes a cooperative arrangement which includes at least a ring-like element, a first grid, and a second grid. The ring-like element and the first and second grids each comprises conductive material. A segmented detector assembly is positioned to receive the scattered electron beam after the scattered electron beam passes through the cooperative arrangement. Other embodiments, aspects and features are also disclosed. The apparatus is configured to yield good topographical contrast, high signal to noise ratio, and to accommodate a variety of scattered beam properties that result from different primary beam and scan geometry settings.

Method and system for imaging an object or pattern

A system and method for simultaneously obtaining a plurality of images of an object or pattern from a plurality of different viewpoints is provided. In an exemplary embodiment, proper image contrast is obtained by replacing the light sources of earlier systems with equivalent light sensitive devices and replacing the cameras of earlier systems with equivalent light sources. With such a system, bright-field images and dark-field images may be simultaneously obtained. In one aspect of the invention, a light source is positioned to illuminate at least a portion of an object. A plurality of light guides having input ends are positioned to simultaneously receive light reflected from the object and transmit the received light to a plurality of photodetectors. The light guides are arranged such that their respective input ends are spaced substantially equally along at least a portion of a surface of an imaginary hemisphere surrounding the object. The signals generated by the photodetectors (as a result of light detection) are processed and a plurality of images of the object are formed. Another aspect of the invention provides a method for generating composite images from simultaneously obtained images. Equivalent regions of each image (corresponding to geographically identical subpictures) are compared. The subpicture having the highest entropy is selected and stored. This process continues until all subpictures have been considered. A new composite picture is generated by pasting together the selected subpictures. In another aspect of the invention, the vector of relative light values gathered for each pixel or region of an object illuminated or scanned (i.e., one value for each photodetector) is used to determine reflectance properties of points or regions illuminated on the object or pattern. The reflectance properties may be stored in a matrix and the matrix used to read, for example, a Bar Code of a data matrix symbol.

Face detecting and tracking method and device

InactiveCN103116756ASolve the problem of susceptibility to light intensityCharacter and pattern recognitionFace detectionTrack algorithm
The invention provides a face detecting and tracking method and a device. The method comprises the steps of inputting a face image or a face video, preprocessing the face image or the face video in an illumination mode, detecting a face by usage of an Ada Boost algorithm, confirming an initial position of the face, and tracking the face by the usage of a Mean Shift algorithm. According to the face detecting and tracking method and the device, a self-adaptation local contrast enhancement method is provided to enhance image detail information in the period of image preprocessing, in order to increase robustness under different illumination conditions, face front samples under different illumination are added to training samples and accuracy of the face detection is increased by adoption of the Ada Boost algorithm in the period of face detection, in order to overcome the defect that using color of the Mean Shift algorithm is single, grads features and local binary pattern length between perpendiculars (LBP) vein features are integrated by adoption of the Mean Shift tracking algorithm in the period of face tracking, wherein the LBP vein features further considers using LBP local variance for expressing change of image contrast information, and accuracy of the face detection and the face tracking is improved.

Methods for preparing and identifying continuous-real-object anti-counterfeit label based on image contrast

The invention discloses methods for preparing and identifying a continuous-real-object anti-counterfeit label based on image contrast. The preparing method comprises the steps of printing an anti-counterfeit serial number on blank label paper, preparing an anti-counterfeit real-object pattern in a corresponding area of the label paper, and saving a photographed picture in an inquiry website in a manner that the photographed picture corresponds to the anti-counterfeit serial number. The identifying method comprises the steps of photographing the anti-counterfeit label by using a camera of a mobile phone or logging on the inquiry website and inputting serial number codes on the anti-counterfeit label, comparing whether a real picture and a continuous real object on the anti-counterfeit label of a commodity are consistent or not, and further judging whether the commodity is genuine or not through combining historical inquiry record information returned from a database of the inquiry website if the real picture and the continuous real object on the anti-counterfeit label of the commodity are consistent. According to the method, a plurality of continuous real objects are adopted as anti-counterfeit information carriers; the real-object information carriers are non-print randomly stuck or brushed real objects, e.g. random shape/color paper, random real object lines and the like; and real-object signs can be as complicated as possible, so that the cost of copying and imitating for other people can be increased.
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