Color-information-maintaining objectionable image detection method under deformation sensitive organ models

Abstract

The invention discloses a color-information-maintaining objectionable image detection method under deformation sensitive organ models. The method comprises the following steps that: a GMM (Gaussian Mixture Model) is adopted for building color models of human body sensitive organs; HoG (Histogram of Oriented Gradients) features and GMM features of a sensitive organ training sample are extracted; for specific postures of each kind of human body sensitive organ, on the basis of features obtained after combining the HoG features and the GMM features of the human body sensitive organ, a deformable part model and a latent support vector machine are used for training detectors of the sensitive organ in the specific postures, and the detectors in various postures are integrated into a mixture deformation model of the sensitive organ; and various human body sensitive organ classifiers respectively detect test images, merge detection results and judge image properties. The method provided by the invention has the advantages that objectionable images are distinguished by using high-level semantic information of the sensitive organs in the objectionable images; the misjudging problem of normal images is effectively solved; and the method can be used for filtering pornographic information in the images.

Description

technical field [0001] The invention belongs to the intersecting field of computer vision and pattern recognition, and relates to a detection method for bad images, in particular to a multi-scale deformable component model fusion detection method based on color information preservation, which can be used to detect human sensitive organs in images to filter pornography image. Background technique [0002] With the popularization of the Internet, Internet users can easily obtain various information, however, pornographic images and videos on the Internet damage the health of the Internet. In particular, the dissemination of pornographic information on the Internet has become increasingly hidden, seriously affecting the physical and mental health of users, especially young people. Therefore, how to effectively curb the spread of such bad information in the network is an urgent problem to be solved. Because video is composed of image frames, bad image detection technology is t...

AI Technical Summary

Problems solved by technology

[0013] In order to solve the problem that the existing sensitive organ detector does not consider the color information of the image, resulting in misjudgment of normal images, the present invention utilizes the high-level semantic information of sensitive organs in bad images to identify bad images, and provides a deformation-sensitive sensor that maintains color information. Bad image detection method under organ model

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