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A novel infrared pedestrian segmentation algorithm based on the circular shortest path is proposed. The foreground containing pedestrians is estimated by saliency mapping and gray thresholding. In the foreground area, the human shape feature is introduced by a regional polar transformation. By adding the human shape coefficient to the object term of the cost function, the extracted contour can fit...
particle filter is a probabilistic multi-hypothesis algorithm under the Bayesian framework. In order to establish a robust observing model, in this paper, a novel method which uses a more effective color feature with contour information integrated adaptively is proposed. Experimental results verified that, our approach was efficient.
Low contrast images in medical x-ray imaging would interfere with the regular diagnosis. Thus, contrast enhancement is of pivotal significance in addressing this problem. Multiscale enhancement method enables fine detail enhancement as well as visually appealing images. However, it may not control the lut (look up table) mapping function effectively, which may cause loss of weak signal or produce...
To efficiently enhance images, a multi scale top-hat transform based algorithm is proposed in this paper. Firstly, the multi scale white and black regions are extracted by using structuring elements with the same shape and increasing sizes. Then, two types of multi scale image features, which are multi scale white and black image regions at each scale and multi scale detail image regions between neighboring...
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