کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6864463 1439542 2018 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Heterogeneous SPCNN and its application in image segmentation
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Heterogeneous SPCNN and its application in image segmentation
چکیده انگلیسی
Based on the fact that actual cerebral cortex has different structure, a new heterogeneous simplified pulse coupled neural network (HSPCNN) model is proposed in this paper for image segmentation. HSPCNN is constructed with several simplified pulse coupled neural network (SPCNN) models, which have different parameters corresponding to different neurons. An image is segmented by HSPCNN into several regions according to their gray levels. Moreover, the parameter of HSPCNN is set automatically in this paper, the experimental segmentation results of the gray natural images from the Berkeley Segmentation Dataset (BSD 300) show the validity and efficiency of the proposed segmentation method. Finally, an evaluation index is proposed to measure the segmentation result.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 285, 12 April 2018, Pages 196-203
نویسندگان
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