Directional Vector-Based Skin Lesion Segmentation - A Novel Approach to Skin Segmentation
- Title
- Directional Vector-Based Skin Lesion Segmentation - A Novel Approach to Skin Segmentation
- Creator
- Nikesh P.; Raju G.
- Description
- Efficient skin lesion segmentation algorithms are required for computer aided diagnosis of skin cancer. Several algorithms were proposed for skin lesion segmentation. The existing algorithms are short of achieving ideal performance. In this paper, a novel semi-automatic segmentation algorithm is proposed. The fare concept of the proposed is 8-directional search based on threshold for lesion pixel, starting from a user provided seed point. The proposed approach is tested on 200 images from PH2 and 900 images from ISBI 2016 datasets. In comparison to a chosen set of algorithms, the proposed approach gives high accuracy and specificity values. A significant advantage of the proposed method is the ability to deal with discontinuities in the lesion. 2020 World Scientific Publishing Company.
- Source
- International Journal of Image and Graphics, Vol-20, No. 3
- Date
- 2020-01-01
- Publisher
- World Scientific
- Subject
- 8-directional vector; dermoscopy; DVBSLS; PH2 lesion pixel; secondary seed; semi-automatic
- Coverage
- Nikesh P., School of Computer Sciences, Mahathma Gandhi University, Kottayam, Kerala, India; Raju G., Department of CSE, Faculty of Engineering, Christ (Deemed to Be University), Bengaluru, Karnataka, India
- Rights
- Restricted Access
- Relation
- ISSN: 2194678
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Nikesh P.; Raju G., “Directional Vector-Based Skin Lesion Segmentation - A Novel Approach to Skin Segmentation,” CHRIST (Deemed To Be University) Institutional Repository, accessed March 12, 2025, https://archives.christuniversity.in/items/show/16273.