GDL

A Novel Edge Detection Algorithm for Digital Mammogram

ISSN 2223-4985
Journal from gdlhub / 2017-08-14 11:52:31
Oleh : Indra Kanta Maitra , Sanjay Nag , Samir K. Bandyopadhyay, International Journal of Information and Communication Technology Research
Dibuat : 2012-06-23, dengan 1 file

Keyword : Mammographic Images, Edge Detection, Segmentation, Edge Operator, Filter
Subjek : A Novel Edge Detection Algorithm for Digital Mammogram
Url : http://esjournals.org/journaloftechnology/archive/vol2no2/vol2no2_17.pdf
Sumber pengambilan dokumen : Internet

Detection of edges in an image is a very important step towards understanding image features. Since edges often


occur at image locations representing object boundaries, edge detection is extensively used in image segmentation


when images are divided into areas corresponding to different objects. This can be used specifically for enhancing


the tumor area in mammographic images. Different methods are available for edge detection like Roberts, Sobel,


Prewitt, Kirsch and Laplacian of Gaussian edge operators. In this paper a novel algorithm for edge detection has


been proposed for mammographic images. Breast boundary, pectoral region and tumor location can be seen


clearly by using this method. For comparison purpose Roberts, Sobel, Prewitt, Kirsch and Laplacian of Gaussian


edge operators are used and their results are displayed.

Deskripsi Alternatif :

Detection of edges in an image is a very important step towards understanding image features. Since edges often


occur at image locations representing object boundaries, edge detection is extensively used in image segmentation


when images are divided into areas corresponding to different objects. This can be used specifically for enhancing


the tumor area in mammographic images. Different methods are available for edge detection like Roberts, Sobel,


Prewitt, Kirsch and Laplacian of Gaussian edge operators. In this paper a novel algorithm for edge detection has


been proposed for mammographic images. Breast boundary, pectoral region and tumor location can be seen


clearly by using this method. For comparison purpose Roberts, Sobel, Prewitt, Kirsch and Laplacian of Gaussian


edge operators are used and their results are displayed.

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