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Visual saliency detection is usually a prerequisite for image processing tasks like object segmentation, object recognition and information compression. In this work, we first present a novel method that combines cognitive-based objectness and image-based saliency to obtain a better saliency map with less negligible background information. Then, by introducing some top-down attention priors, we further...
In the Completely Automated Public Turing test to tell Computer and Humans Apart recognition systems, character segmentation serves as a connecting link between the preceding and the following. By studying a variety of character segmentation algorithms, the improved method combined vertical projection algorithm, improved drop-falling algorithm and BP neural network classifier is proposed for merged...
Classical edge detection algorithm cannot completely remove blur edge and lost sharp edge when it is used to process the defects of the timber. In order to resolve this problem, we propose a defect detection algorithm based on multi-threshold and gradient optimization. Firstly, through k-means algorithm (k=4), the mean threshold of module is required. Secondly, the image is segmented by 4×4 module,...
Efficiently, accurately and automatically positioning the ribs in CT images and giving tips of which rib it is on cross-sectional plane will be very helpful for doctor's clinical diagnosis. This paper presented a new method of automatic rib positioning and extraction in CT images. According to the anatomical characteristics of ribs, the first rib will presents as a sloping line gradually when we slice...
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