Paper
15 November 2007 Method of image enhancing based on shape feature of target
Wei Wu, Lan Xiang, Zude Zhou
Author Affiliations +
Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67864U (2007) https://doi.org/10.1117/12.750372
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
It is difficult to get ideal effect that research on target enhancement and segmentation are developed by simply using features of edge, texture and gray in complex background. Studies on target enhancement and segmentation have always been the research focus for a long time. Considering known regular shape target in complex background, an approach of target enhancement and segment based on shape feature is proposed. According to analyze the shape of regular target such as line and arc, first, Top-hat is used to enhance target. Then, threshold segmentation method, thinning and deburring are following. Third, a new image is acquired by the Hough transform which can find points in edge image similar with target in shape and property. The very points would be reserved. Moreover, the new image acquired is the initial condition of reconstruction, the original image is limit condition, and target enhancement is achieved by grayscale morphological reconstruction. Finally, binaryzation processing of image was used to segment target. Experimental results demonstrate that the proposed algorithm has an encouraging performance.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei Wu, Lan Xiang, and Zude Zhou "Method of image enhancing based on shape feature of target", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67864U (15 November 2007); https://doi.org/10.1117/12.750372
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KEYWORDS
Image segmentation

Image enhancement

Hough transforms

Target acquisition

Image processing

Detection and tracking algorithms

Image processing algorithms and systems

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