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Journal of AI and Data Mining
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Volume Volume 7 (2019)
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Khosravi, M. (2019). A Pixon-based Image Segmentation Method Considering Textural Characteristics of Image. Journal of AI and Data Mining, 7(1), 27-34. doi: 10.22044/jadm.2017.5988.1706
M. H. Khosravi. "A Pixon-based Image Segmentation Method Considering Textural Characteristics of Image". Journal of AI and Data Mining, 7, 1, 2019, 27-34. doi: 10.22044/jadm.2017.5988.1706
Khosravi, M. (2019). 'A Pixon-based Image Segmentation Method Considering Textural Characteristics of Image', Journal of AI and Data Mining, 7(1), pp. 27-34. doi: 10.22044/jadm.2017.5988.1706
Khosravi, M. A Pixon-based Image Segmentation Method Considering Textural Characteristics of Image. Journal of AI and Data Mining, 2019; 7(1): 27-34. doi: 10.22044/jadm.2017.5988.1706

A Pixon-based Image Segmentation Method Considering Textural Characteristics of Image

Article 3, Volume 7, Issue 1, Winter and Spring 2019, Page 27-34  XML PDF (1085 K)
Document Type: Original Manuscript
DOI: 10.22044/jadm.2017.5988.1706
Author
M. H. Khosravi
Faculty of Electrical and Computer Engineering, University of Birjand, Birjand, Iran.
Abstract
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.
Keywords
Image segmentation; image texture; pixon
Main Subjects
H.3.2.2. Computer vision
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