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Target discrimination is the key step of automatic target detection in synthetic aperture radar (SAR) images. Aiming at the issue of aircraft discrimination in high resolution SAR images, a novel discrimination method is proposed with using texture features. First of all the method of gray level co-occurrence matrix is used to generate eight discrimination texture features: mean, variance, deficit...
A novel local threshold algorithm for images with poor illumination and complex texture surface is presented in this paper. This algorithm improves segmentation quality by selecting local thresholds according to object level information incorporating prior knowledge, specifically the solidity features. Local thresholds are searched by maximizing the probability of solidity, and fragments with lower...
This paper presents a particle filter based solution to the problem of detecting large frozen lumps in an image sequence, taken of the feed to a crusher, which is used for size reduction of oilsand ore. In this application, the objects of interest, i.e., large frozen lumps, are characterized by a high level of image noise, irregular shapes, and uneven and variable surface texture. In addition, more...
Background subtraction is an effective technique for motion detection. A traditional background subtraction algorithm assumes a moving object (or objects) with respect to a static background, and segments the moving object(s) by classifying pixels into foreground and background with trained statistical models. Because classical background subtraction algorithms work with intensity images, they cannot...
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