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  • 标题:Parallel Scanning Based Speed-up Method for Detection of Elliptical Obstacles in High-resolution Images
  • 本地全文:下载
  • 作者:H. Waruna H. Premachandra ; Chinthaka Premachandra ; Dinesh Chandana Parape
  • 期刊名称:International Journal of Computer Science and Communication Networks
  • 电子版ISSN:2249-5789
  • 出版年度:2013
  • 卷号:3
  • 期号:5
  • 页码:265-270
  • 出版社:Technopark Publications
  • 摘要:Objects in the binary images are generally detected considering their geometrical information with the raster scanning. In the raster scanning, image is scanned starting from left top point and ending with right down point. However, in the case of high-resolution images, considerable processing time is needed for detecting objects by scanning all the pixels. In this paper, an object detection approach for high-resolution binary images is proposed without scanning all the pixels in the images. Here, elliptical object detection is considered, pixels on horizontal and vertical parallel lines are scanned keeping a constant gap between each two lines. With this approach, processing time could be reduced since some of undesired objects could easily be dropped out in the scanning stage.
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