Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Textural Analysis for the Accuracy in Diagnosis of Medical Scan/CT Images


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

   Subscribe/Renew Journal


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.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 232

PDF Views: 2




  • Textural Analysis for the Accuracy in Diagnosis of Medical Scan/CT Images

Abstract Views: 232  |  PDF Views: 2

Authors

M. Vanitha
Mother Teresa University, Kodaikannel, India
R. Balasubramanian
EBET Knowledge Park, Tirupur, India

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.