Color Image Segmentation Using Self Organizing Map Artificial Neural Network
سال انتشار: 1392
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 496
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شناسه ملی سند علمی:
JR_IJOCIT-1-3_005
تاریخ نمایه سازی: 16 فروردین 1395
چکیده مقاله:
Segmentation of color images is one of the basic steps in most of image processing applications and quality of its result has great influence on future processes. A novel segmentation method using artificial neural network (ANN) for color image segmentation is proposed in this paper. For increasing color differences, images are represented in a modified L*u*v* color space. Self-organizing neural network with unsupervised learning is used for image segmentation based on color reduction. In color reduction, image colors are projected into a small set of prototypes using Self-Organizing Map (SOM) network. Results of this method can be considered as a near optimal segmentation with a low computation cost. Experimental results show that this system has a desirable ability for color image segmentation in computer vision applications.
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نویسندگان
Saeid Pashazadeh
Department of Information Technology Faculty of Elec. & Comp. Engineering, University of Tabriz Tabriz, Iran
Masume Kheyri
Department of Computer Engineering Faculty of Elec. & Comp. Engineering, University of Tabriz Tabriz, Iran