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In recent years, several kinds of tree structures for dynamic programming have been proposed. All the former trees only include pixels of the image. While in this paper, a new type of tree, which includes all the edges in the image, is constructed. In addition, weighted dynamic programming is proposed in order to improve the conventional dynamic programming. The weighted dynamic programming here is...
There are many uncertainties in image segmentation, which should be handled by theories and methods with uncertainty. Cloud model is a kind of effective method to handle uncertainty, which considers fuzziness, randomness and the connection of them. Image segmentation based on one-dimensional cloud model processes the one-dimensional grayscale histogram, and segments images using one-dimensional cloud...
The segmentation of zebrafish image is an important step for the processing and analysis of zebrafish image, due to the feature of uneven intensities and weak boundary in zebrafish images, general segmentation methods may result in missing part object or inexact segmentation, but active contour model can evolve enclosed active curve towards boundary automatically, which is easy to get the whole contour...
Presented here is a highly accurate and computationally efficient algorithm suitable for slap fingerprint segmentation. The main advantages of this algorithm are as follows: 1)three-order cumulant is used to roughly segment the foreground; 2)frequency domain analysis is carried out in local areas to do binarization and fine segmentation; 3)cumulative sum analysis is applied to extract the knuckle...
Through binocular vision the fast disparity image is often desired for many applications, but, stereo vision still is an on studying subject. It is hard to get the precisely result because of the complex of the vision task. Vertical edges of depth images are presented much information of the stereo scene for further image processing. We present an image processing technique that can fast estimate...
A variational model which is used to locate at the boundary of the object in the designated region is presented in this paper. This is done by adding an intersect area term into our model, which will play an important role in this paper. In this model, we need to construct an energy functional ε using two level set functions. One is used to capture the object of interest, the other one indicates image...
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