A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification

Table 5

Comparison of Precision, Recall, and Accuracy of different techniques.

Techniques	Proposed	Feature extraction by binarization with multilevel mean threshold (existing)	Feature extraction by binarization using Bit Plane Slicing with mean threshold (existing)	Feature extraction by binarization of original + even image with mean threshold (existing)	Feature extraction by binarization with Bernsen’s local threshold method (existing)	Feature extraction by binarization with Sauvola’s local threshold method (existing)	Feature extraction by binarization with Niblack’s local threshold method (existing)	Feature extraction by binarization with Otsu’s global threshold method (existing)
Precision	0.69	0.66	0.65	0.65	0.64	0.63	0.57	0.52
Recall	0.69	0.66	0.65	0.65	0.64	0.63	0.57	0.52
Accuracy	0.93	0.92	0.92	0.92	0.92	0.92	0.9	0.89