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Boundaries Object Detection for Skin Cancer Image using Gray-Level Co-Occurrence Matrix (GLCM) and features minutiae points | ||
| Journal of Al-Qadisiyah for Computer Science and Mathematics | ||
| Article 1, Volume 7, Issue 1, 2015, Pages 160-172 PDF (0 K) | ||
| Author | ||
| Hind Rostom Mohamed | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Skin cancer image; Image Segmentation; Object Detection; Extraction of connected boundaries; Connected Components | ||
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