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To quickly detect the defection of moving object, base on the experiments and analysis of the advantages and disadvantages of the classical operator, a new detection method of SUSAN Operator and K-means clustering algorithm fusion is presented in this paper. This method integrates the advantages of the high precision of edge detection of the SUSAN Operator and the accurate online detection of K-Means...
Image segmentation is the key factor for target recognition of ladar range images. Morphological watershed segmentation is a steady method, which can produce a closed curve. In this paper, a watershed segmentation based on markers is used to carry out emulational experiments on image segmentation of range images: simulated range image of coherent ladar, background-suppressed range image and range...
Range, intensity and Doppler images can be obtained by using coherent LADAR (laser radar). Range image is closely relative to physical structure property of target surface, and it can reflect essential characteristics of targets. At present the research on automatic target recognition technology for LADAR is attention-getting. The Back-propagation neural network (BPNN) has been used in multi-layered...
In the smaller-aperture imaging system for aerospace application, the diffraction degradation in the image resulted from the finite-size aperture of an optical system is troublesome. A great deal of effort has been made to restore the degraded image. Unfortunately, the process of restoration is an ill-conditioned problem, especially for the images with severely noise. The paper presents an analysis...
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