A Pixon-based Image Segmentation Method Considering Textural Characteristics of Image | ||
| Journal of AI and Data Mining | ||
| مقاله 3، دوره 7، شماره 1، فروردین 2019، صفحه 27-34 اصل مقاله (1.06 M) | ||
| نوع مقاله: Original/Review Paper | ||
| شناسه دیجیتال (DOI): 10.22044/jadm.2017.5988.1706 | ||
| نویسنده | ||
| M. H. Khosravi* | ||
| Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, Iran. | ||
| چکیده | ||
| Image segmentation is an essential and critical process in image processing and pattern recognition. In this paper we proposed a textured-based method to segment an input image into regions. In our method an entropy-based textured map of image is extracted, followed by an histogram equalization step to discriminate different regions. Then with the aim of eliminating unnecessary details and achieving more robustness against unwanted noises, a low-pass filtering technique is successfully used to smooth the image. As the next step, the appropriate pixons are extracted and delivered to a fuzzy c-mean clustering stage to obtain the final image segments. The results of applying the proposed method on several different images indicate its better performance in image segmentation compared to the other methods. | ||
| کلیدواژهها | ||
| Image segmentation؛ image texture؛ pixon | ||
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آمار تعداد مشاهده مقاله: 1,767 تعداد دریافت فایل اصل مقاله: 1,005 |
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