Enhanced Segmentation of Inflamed ROI to Improve the Accuracy of Identifying Benign and Malignant Cases in Breast Thermogram

Figure 7

(a) Image 1 (dataset 1): corresponding greyscale image, ground truth, segmentation result of the proposed method with linear regression plot iteration: 48, CPU time: 5.468s; FCM method with linear regression plot iteration: 78, CPU time: 15.703s; CV-ACM method with linear regression plot iteration: 290, CPU time: 11.76s; K-means method with linear regression plot iteration: 103, CPU time: 17.73s. (b) Image 2 (dataset 2): corresponding greyscale image, ground truth, segmentation result of the proposed method with linear regression plot iteration: 40, CPU time: 5.093s; FCM method with linear regression plot iteration: 71, CPU time: 12.093s; CV-ACM method with linear regression plot iteration: 260, CPU time: 10.64s; and K-means method with linear regression plot iteration: 100, CPU time: 15.34s.

(a)

(b)