Digital Image Processing

B. Gayathri Devi ¹, R. Balasubramanian ²

Affiliations
1 Computer Science and Engineering, Manonmaniam Sundaranar University, Tiruneveli, IN
2 Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tiruneveli, IN

Abstract

The optic disk (OD) can be used for the diagnosis of fundus disorders. The main goal of the system is to segment the optic disk. In this, the first technique is C-V (Chan-Vese) Method, using which OD is segmented. The second technique used for the segmentation of OD is based on Active contours using region-based information. Comparing the results of the C-V Method and the Active contour Method the analysis has made.

Keywords

Area, Active Contour, Boundary Distance, C-V Method, Diagnosis, Fundus Image, F-Score, Iteration, Optic Disk, Segmentation, Snake, Time.

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M. Vanitha ¹, R. Balasubramanian ²

Affiliations
1 Mother Teresa University, Kodaikannel, IN
2 EBET Knowledge Park, Tirupur, IN

Abstract

To determine the accuracy of normal tissue scan images from the abnormal cases, the GLCM (Grey-Level Co-occurrence matrix) and their derived parameters such as homogeneity of the images and energy level calculations were approached. These structural and textural parameters were calculated by using mathematical formulae. In each case 20 abdominal scan images of both normal and abnormal patients were employed. The data generated out of this present investigation was tabulated and statistically analyzed. The analysis for energy level on the images disclosed that there was a clear distinguish between normal tissue and abnormal tissue. The above results are discussed with relation to the accuracy.

Keywords

Textural Features of CT Images, Statistical Design For Image Studies, Medical Image Textural Analysis.

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