کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6854147 | 1437405 | 2018 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A novel hybrid model for two-phase image segmentation: GSA based Chan-Vese algorithm
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A novel hybrid model for two-phase image segmentation: GSA based Chan-Vese algorithm A novel hybrid model for two-phase image segmentation: GSA based Chan-Vese algorithm](/preview/png/6854147.png)
چکیده انگلیسی
The proposed model has been tested on both several images taken from Weizmann dataset and suitable medical images for the local minima problem. Experiments on the suitable test images prove that the proposed GSA based Chan-Vese model is more accomplished and more robust when compared to the conventional Chan-Vese algorithm. The test results also denote that the proposed algorithm requires much smaller number of iterations (%75 less) to converge than the conventional Chan-Vese algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 73, August 2018, Pages 22-30
Journal: Engineering Applications of Artificial Intelligence - Volume 73, August 2018, Pages 22-30
نویسندگان
Hatice Ãataloluk, Fatih Vehbi Ãelebi,