Automatic Detection and Recognize Different Shapes in an Image

نویسندگان

  • Nidhal El Abbadi
  • Lamis Al Saadi
چکیده

Vision is the most advanced of our senses, so it is not surprising that images contribute important role in human perception. This is analogous to machine vision such as shape recognition application which is important field nowadays. This paper introduces a new approach for recognizing twodimensional shapes in an image, and also recognizes the shapes type. The algorithm recognizes all the known shapes basis on segmenting images into regions corresponding to individual objects and then determine the shape factor which is use to recognize the shape type. Algorithm tested with many images with different shapes and recognizes all.

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تاریخ انتشار 2013