Method for recognizing sensitive images on basis of combinations of HSV (hue, saturation and value) and LBP (local binary pattern) features

A sensitive image and recognition method technology, applied in the field of sensitive image recognition, can solve the problems of slow processing speed and low accuracy of sensitive image recognition methods, and achieve the effect of fast processing speed and high accuracy

Pending Publication Date: 2018-07-13
天津市国瑞数码安全系统股份有限公司
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Problems solved by technology

[0007] The invention provides a sensitive image recognition method based on the combination of HSV and LBP features, which can effectively solve the problem of slow processing speed of the sensitive image recognition method in the prior art, and can also solve the low accuracy rate of the sensitive image recognition method in the prior art The problem

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  • Method for recognizing sensitive images on basis of combinations of HSV (hue, saturation and value) and LBP (local binary pattern) features
  • Method for recognizing sensitive images on basis of combinations of HSV (hue, saturation and value) and LBP (local binary pattern) features
  • Method for recognizing sensitive images on basis of combinations of HSV (hue, saturation and value) and LBP (local binary pattern) features

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[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0040] Such as figure 1 As shown, the sensitive image recognition method based on the combination of HSV and LBP features provided by the present invention comprises the following steps:

[0041] Step 1: Obtain the skin area of ​​the sensitive RGB image and the normal RGB image.

[0042] 1.1 Read in 320*280 sensitive RGB images and normal RGB images, use Haar-like features to detect the face areas in sensitive RGB images and normal RGB images, c...

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Abstract

The invention provides a method for recognizing sensitive images on the basis of combinations of HSV (hue, saturation and value) and LBP (local binary pattern) features. The method includes acquiringskin regions of sensitive RGB (red, green and blue) images and normal RGB images; acquiring LBP visual vocabulary expression of the sensitive RGB images and the normal RGB images by the aid of LBP algorithms; acquiring HSV color features of the sensitive RGB images and the normal RGB images by the aid of HSV color models; utilizing the LBP visual vocabulary expression and the HSV color features asinput parameters and training BP (back propagation) neural networks; outputting to-be-detected image recognition results. The method has the advantages that texture information and global color information of images are used as image features, accordingly, picture feature missing can be prevented, and the method is high in accuracy and processing speed.

Description

technical field [0001] The invention belongs to the technical field of sensitive image recognition, and in particular relates to a sensitive image recognition method based on the combination of HSV and LBP features. Background technique [0002] With the rapid development of Internet technology in recent years, online forums and portals have also grown rapidly, covering almost all aspects of life, so the dissemination of Internet picture information is becoming more and more extensive and easy, and the dissemination of harmful images is harmful to young people. negatively affect their physical and mental health and social climate. Due to the large number of people posting and posting pictures in the forum, it will obviously consume a lot of time and energy for forum administrators to review all forum pictures in turn. Therefore, an effective sensitive image recognition method based on machine learning and machine vision will reduce the workload of forum administrators. appe...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V10/424G06V10/56G06N3/048G06N3/045G06F18/23213
Inventor 李新夏光升孙涛郝振江李小标柴军民
Owner 天津市国瑞数码安全系统股份有限公司
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