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Character segmentation is the area of image segmentation, which is the classical problem. Different researchers put forward different resolution algorithms, but mainly concentrate on whether the segmentation result is good or not. As for the distinct difference between the prospect and background of image, global threshold segmentation method is simplest, but it is not suitable for the image which...
Obstacle detection is a crucial problem of autonomous vehicle navigation. The paper presents color image stereo correspondence algorithm for obstacle detection. Firstly, the color images are segmented in HSV color space. And the regions of interest are extracted from the images; Then, the rectangular boundary of the interest regions are calculated; Obstacle position finally are obtained using stereo...
In this paper a new method of speckle reduction of SAR images in curvelet domain is proposed. In the method, curvelet transform is integrated with wavelet filtering. The new method consists of five parts: preprocessing, curvelet transform (CT), curvelet coefficients processing and two inverse transforms. In the preprocessing step, homomorphic transform is applied to convert multiplicative noise in...
A new method for detecting roads in SAR images is presented in this paper. The method consists of four parts: preprocessing, Hough transform, genetic algorithm and region growing. In the preprocessing step, morphological operations are employed to remove many details in binarized SAR images. The Canny operator is applied to detect image edge, and small areas are deleted by using morphological area...
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