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In computer vision, it is a challenge to compute the relationship of multiple views from scene images. The view relationship can be obtained from the fundamental matrix. Thus, it is very important to compute an accurate fundamental matrix from unevenly distributed features in complex scene images. This study proposes a robust method to estimate the fundamental matrix from corresponding images. First,...
Image segmentation can be considered as the process of clustering image pixels of different image features. Clustering algorithm based on ant behaviors is a parallel, self-organized algorithm with sound discreteness, positive feedback and robustness. The basic ant colony algorithm is redundant in futile program loop, random in search mechanism and of which, the result is sensitive to the initial parameters...
Threshold segmentation is a critical technology of image segmentation. When the image is low signal-to-noise, the maximum between-cluster variance method (OTSU) cannot provide the ideal result. The 2D maximum between-cluster variance method can perform well with sharply increased computation. This work proposes a new image segmentation method based on OTSU and differential evolution. This solution...
A new image segmentation method based on discrete Tchebichef moments and quantum neural networks is presented. The Tchebichef moments in certain local window of each pixel in the image are computed and input to quantum neural network . Quantum neural networks , which use multilevel transfer function, have the inherent fuzzy characteristics. The point accommodates to the connatural uncertainty of fractional...
A new image segmentation method based on discrete Krawtchouk moments and Quantum neural networks is presented. The Krawtchouk moments in certain local window of each pixel in the image are computed and input to quantum neural network . Quantum neural networks, which use multilevel transfer function, have the inherent fuzzy characteristics. The point accommodates to the connatural uncertainty of fractional...
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