Research Article
A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification
| | Comparison | -calc | value | Significance |
| | Feature extraction by binarization with multilevel mean threshold (existing) | −2.61320 | 0.015488 | | | Feature extraction by binarization using Bit Plane Slicing with mean threshold (existing) | −2.50732 | 0.018261 | | | Feature extraction by binarization of original + even image with mean threshold (existing) | −2.62862 | 0.015121 | | | Feature extraction by binarization with Bernsen’s local threshold method (existing) | −2.66076 | 0.014386 | | | Feature extraction by binarization with Sauvola’s local threshold method (existing) | −2.41902 | 0.020957 | | | Feature extraction by binarization with Niblack’s local threshold method (existing) | −3.69717 | 0.003034 | | | Feature extraction by binarization with Otsu’s global threshold method (existing) | −5.20553 | 0.000408 | |
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Stands for significant and for highly significant.
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