Method for automatically filtering defective image based on multilayer feature

Abstract

The invention relates to a method for automatically filtering a defective image based on multilayer feature. The preset filtering method has poor effect. The method comprises the following steps: inputting an image, preprocessing the input image and carrying out complexion detection on the preprocessed image to obtain a complexion mask image; extracting first-layer features of the images, classifying the images by adopting a first-layer binary system classification tree, carrying out trunk positioning on a suspected image and outputting a classification result; carrying out truck positioning on images which are successfully positioned by adopting a human face detection method; if the positioning is succeeded, extracting a third-layer feature and outputting an image by adopting a decision tree classifier; and positioning a truck of a human body by adopting an elliptical fitting method for the images which are not successfully positioned; after the feature is extracted, outputting classification results by adopting a binary system classification tree and finishing. According to the invention, internet industries carrying more multimedia information such as network video, social network sites, and the like can be healthily and sustainably developed.

Description

technical field [0001] The invention belongs to the technical field of computer image processing, and relates to an automatic filtering method for defective images based on multi-layer features. Background technique [0002] With the development of the Internet, people acquire, publish, and disseminate information through the Internet, which leads to a sharp increase in various forms of information such as text, images, and videos on the Internet. Due to the lack of an effective supervision mechanism for the release of online information, a large amount of pornographic, violent, reactionary and other harmful information has been released on the Internet, which has affected the construction of a harmonious network environment. Bad images, as a kind of bad information, seriously damage the healthy network environment. For this reason, researchers have proposed a variety of bad image filtering techniques, among which the filtering method based on content analysis is the most p...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is mainly to propose a bad image filtering method with higher robustness and higher accuracy for the current bad image filtering method with low accuracy rate, high false detection rate and poor robustness.

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