The invention relates to an objectionable image distinguishing method integrating skin color, face and sensitive position detection. The method comprises the following steps that a skin color model is firstly built, the face detection is carried out, the constituted feature vector of skin color and face features is extracted, a SVM (support vector machine) algorithm is utilized for training, and a SVM classifier is obtained; then, by aiming at the female breast in the local key position of the human body, SIFT (scale-invariant feature transform) features are extracted, an Adaboost algorithm is utilized for training, and an Adaboost classifier is obtained; next, by aiming at the female private parts in the local key position of the human body, the trunk region of the human body is determined, haar-like features are utilized as a template for carrying out searching and matching in the trunk region of the human body; and finally, the SVM classifier, the Adaboost classifier and the template matching method are adopted for carrying out image detection, a C4.5 decision-making tree method is utilized for integrating detection results, a decision-making tree model is built, the decision-making tree model is adopted for recognizing objectionable images, and the final distinguishing results are given. The objectionable image distinguishing method has the advantages that the detection accuracy is improved, and meanwhile, the execution speed is ensured.