H.SH.Rostom Utilization of improved masks for edge detection images | ||
| Iraqi Journal of Information Technology | ||
| Article 1, Volume 6, Issue 1, January 2014, Pages 57-68 | ||
| Authors | ||
| Dr. Ali H. Naser; Hind Rostom; Shaymaa Maki | ||
| Abstract | ||
| In the present paper, algorithm is proposed to create a connected boundaries components using the local features minutiae points in image as objects image called (A. H.SH.Rostom) algorithm The Group of (A. H.SH.Rostom) algorithm consists of 10 masks were geometry of the mask operator determines a characteristic direction in which it is most sensitive to edges applied to the four stages of the Mycosis Fungoides disease Skin image have been identified and the edges of the images used for each and every stages that the database consists of 40 images divided each stage of the Mycosis Fungoides disease Skin image 10 images. The experimental results confirm the effectiveness of the proposed A. H.SH.Rostom Utilization of improved masks for Image Edge Detecting of Mycosis Fungoides. | ||
| Keywords | ||
| Segmentation; Image Processing; Skin image detection; Mycosis Fungoides | ||
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