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Because the contrast of the image for guiding the high-speed infrared air-to-air missile is low, its signal to noise ratio is poor and the target and its background gray-scale coupling is strong, the paper analyzes the reasons why the threshold value segmentation method and the fuzzy C-means clustering method have the over-segmentation and under-segmentation in segmenting the above type of image....
Mean-shift is an effective statistical iterative algorithm. In the iterative process, size of bandwidth has great impact on the accuracy and efficiency of the algorithm. It not only decides the number of sampling points in the iteration, but also affects the convergence speed and accuracy of the algorithm. So, the choice of bandwidth is very important. In this paper, bandwidth is calculated by using...
In this paper, We present a novel segmentation technique which is based on Grey relational analysis of Grey system theory. According to global and local inter-pixel correlation, we can extract region of interest from original images. The experimental results show that our algorithms can effectively extract the target area, and has strong anti-noise capability, this new method is simple, fast, and...
In this paper, segmentation of textures using principle component analysis (PCA) fusion based Gray-Level Co-Occurrence Matrix (GLCM) features in image segmentation is presented. First, four of the most common Haralick's features are calculated. Second, we perform principal component analysis to convert the 4 features extracted data in to four principal components. Then, choose fused coefficient according...
Text segmentation, or named text binarization, is usually an essential step for text information extraction from images and videos. However, most existing text segmentation methods have difficulties in extracting multi-polarity texts, where multi-polarity texts mean those texts with multiple colors or intensities in the same line. In this paper, we propose a novel algorithm for multi- polarity text...
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