Sensitive image detection method based on C4.5 algorithm

Presents a new method with twice classification. The shin texture features with Daubechies wavelet and gray concurrence matrix is extracted, and the color features in HSI space and YCbCr space are also extracted. These parameters are given to the C4.5 classifier to be trained and classified. The parameters are further extracted again in the 0, 1 space generated. All the parameters are synthesized as inputs to the C4.5 algorithm. At last, the image is dealt with the rules in C4.5. Experimental results showed that this algorithm depicted better performance with correct rates reaching 93.3%.