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Feature enhancement in an image is to reinforce some exacted features so that it can be used for object classification and detection. As the thermal image is lack of texture and colorful information, the techniques for visual image feature enhancement is insufficient to apply to thermal images. In this paper, we propose a new gradient-based approach for feature enhancement in thermal image. We use...
Standard Gaussian mixture modeling (GMM) is a well-known method for image segmentation. However, the pixels themselves are considered independent of each other, making the segmentation result sensitive to noise. To reduce the sensitivity of the segmented result with respect to noise, Markov random field (MRF) models provide a powerful way to account for spatial dependences between image pixels. However,...
An adaptive watermarking algorithm in the wavelet domain based on multi-scale morphological gradient is proposed in this paper. Using multi-scale morphological gradient, the distribution and the strength of the sub-block texture after the wavelet package decomposition are analyzed, and the textures of sub-blocks are sorted. According to the texture feature of the sub-block, the sub-block threshold...
One of the important steps in gradient-based edge detection is thresholding, e.g., hysteresis thresholding in the Canny detector. Traditional approaches only use gradient magnitude as the criterion to select edge pixels. We introduce a novel saliency measure called supporting range. It measures the range along the gradient direction of an edge pixel in which its gradient magnitude is a local maximum...
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