کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6938559 | 869649 | 2015 | 45 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The image segmentation based on optimized spatial feature of superpixel
ترجمه فارسی عنوان
تقسیم بندی تصویر بر اساس ویژگی فضایی بهینه شده سوپرپیکسل
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
This paper proposes a method of image segmentation based on superpixels. The method is applied to achieve the segmentation of synthetic aperture radar (SAR) image. Firstly, the superpixels are extracted based on multi-scale features. Then, the fuzzy c-means (FCM) clustering based on superpixels is implemented, in which the influence of neighboring and similar superpixels is incorporated into FCM and the influential degree is optimized to improve segmentation performance. Experimental results show that the proposed method can achieve an impressive accuracy of SAR segmentation. For application extension, when we extract corresponding feature from several types of specific images, the proposed method is able to achieve better segmentation performance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 26, January 2015, Pages 146-160
Journal: Journal of Visual Communication and Image Representation - Volume 26, January 2015, Pages 146-160
نویسندگان
Xiaolin Tian, Licheng Jiao, Long Yi, Kaiwu Guo, Xiaohua Zhang,