Boundaries object detection for skin cancer image using Gray-Level Co-Occurrence Matrix (GLCM) and features minutiae points
Author
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 7, Issue 1 (30 Jun. 2015), pp.1-10, 10 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2015-06-30
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Abstract EN
In the present paper, Boundaries Object Detection for Skin Cancer Image using Connected Components is proposed.
We propose Connected Components algorithm which that capable of Segment with Extraction of connected boundaries for Skin Cancer Image Segmentation .
The algorithm is proposed to create a color label image using the local features minutiae points in skin cancer as objects image .
The performance of object Detection with Connected Components which are surround influence .
The proposed scheme can serve as a low cost preprocessing step for high level tasks such shape based recognition and image retrieval.
The experimental results confirm the effectiveness of the proposed algorithm.
American Psychological Association (APA)
Muhammad, Hind Rustum. 2015. Boundaries object detection for skin cancer image using Gray-Level Co-Occurrence Matrix (GLCM) and features minutiae points. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 7, no. 1, pp.1-10.
https://search.emarefa.net/detail/BIM-787776
Modern Language Association (MLA)
Muhammad, Hind Rustum. Boundaries object detection for skin cancer image using Gray-Level Co-Occurrence Matrix (GLCM) and features minutiae points. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 7, no. 1 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-787776
American Medical Association (AMA)
Muhammad, Hind Rustum. Boundaries object detection for skin cancer image using Gray-Level Co-Occurrence Matrix (GLCM) and features minutiae points. al-Qadisiyah Journal for Computer Science and Mathematics. 2015. Vol. 7, no. 1, pp.1-10.
https://search.emarefa.net/detail/BIM-787776
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 9-10
Record ID
BIM-787776