Identification & Enhancement of Different Skin Lesion Images by Segmentation Techniques

被引:0
|
作者
Mittal, Neetu [1 ]
Tanwar, Sudhir [1 ]
Khatri, Sunil Kumar [1 ]
机构
[1] Amity Univ Uttar Pradesh, Amity Inst Informat Technol, Noida, India
来源
2017 6TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (TRENDS AND FUTURE DIRECTIONS) (ICRITO) | 2017年
关键词
Medical Images; Skin lesions; Image Enhancement; Noise Filtering; Sobel Edge detection; BORDER DETECTION;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A skin lesion is a portion of skin with an abnormal growth or presence due to a skin disease. Skin diseases at their early stages can be cured very easily; otherwise they begin to spread to other parts of the body and may be deadly. An early detection of skin disease is essential for such patients. Due to the high cost involved in various dermatology testing procedures for every patient, an automated system is required to give better lesion images and vision to help the doctors to further diagnose and prescribe the correct prescription and medication. In this paper, an innovative approach for automatic identification of skin lesions is proposed. To improve the quality of skin lesion images, Median filtering and Sobel edge detection techniques have been implemented for filtering and segmentation. The efficacy of the proposed work has been verified by measuring the entropy of the resultant images obtained for different skin diseases. The performance is tested on a dataset of 70 samples from 150 medical images of different body parts with 10 different classes of skin diseases.
引用
收藏
页码:609 / 614
页数:6
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