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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...
There are usually large noise and anomalistic distribution of characteristic points in the damaged pavement images, which bring great difficulty to splice. In view of the characters, this paper forms one kind of splicing method of the pavement images which is based on image Pyramid, the Harris vertex examination and FCM clustering. Firstly, it forms several groups of the structure of the criterion...
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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