Work place: Department of Computer Science, AL-Nahrain University Baghdad, AL-jaderyia, Iraq
E-mail: khamail_abbas@yahoo.com
Website:
Research Interests: Computer Networks, Computer systems and computational processes
Biography
Miss. Khamael Abbas Al-Dulaimi received M.Sc. degree in Computer science from College of science, Baghdad University in 2005. The author is working as a lecturer in computer science department in Al-Nahrain university
DOI: https://doi.org/10.5815/ijigsp.2012.10.07, Pub. Date: 28 Sep. 2012
In this paper, a adopted approach to fully automatic satellite image segmentation, called JSEG, "JPEG image segmentation" is presented. First colors in the image are quantized to represent differentiate regions in the image. Then image pixel colors are replaced by their corresponding color class labels, thus forming a class-map of the image. A criterion for “good” segmentation using this class-map is proposed. Applying the criterion to local windows in the class-map results in the “J-image”, in which high and low values corresponding to possible region boundaries and region centers, respectively. A region growing method is then used to segment the image based on the multi-scale J-images. Experiments show that JSEG provides good segmentation and classification results on a variety of images.
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