نویسندگان | Seyyedeh Marziyeh Hamedi |
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همایش | International Conference on Knowledge-Based Engineering and Innovation (KBEI) |
تاریخ برگزاری همایش | 2015-11-05 - 2015-11-06 |
محل برگزاری همایش | 1 - تهران |
ارائه به نام دانشگاه | تهران |
نوع ارائه | سخنرانی |
سطح همایش | بین المللی |
چکیده مقاله
Classification of soft tissues is often joined with uncertainty and ultimate areas border might be hardly measured in segmentation. Basic techniques of edge detection can be used to determine the boundary edge, but because of noise and gray levels steep changes in medical images, it is difficult to achieve the edge of a lesion in image with reasonable and precise segmentation. In this paper a graph based algorithm is presented to extract alike region in image, this approach helps finding similar lesions and accurate segmentation.
کلیدواژهها: images Segmentation; Manifold learning; Decreased Neighborhood Graph algorithm