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Illumination processing method for human face images

A face image and processing method technology, applied in the field of image processing, can solve the problem of not being able to effectively distinguish horizontal edge information and vertical edge information at the same time, and achieve the effect of improving recognition performance

Active Publication Date: 2011-10-12
HANVON CORP
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Problems solved by technology

However, the Gaussian filter used by Retinex has the same properties in all directions, and cannot effectively distinguish horizontal edge information and vertical edge information at the same time.

Method used

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  • Illumination processing method for human face images
  • Illumination processing method for human face images
  • Illumination processing method for human face images

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Embodiment Construction

[0039] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0040] The invention discloses a lighting processing method of a human face image, such as figure 1 shown, including the following steps:

[0041] Step 1: Input a face image and normalize the face image to a fixed size;

[0042] The input face image is processed, and the face area is intercepted according to the positions of the eyes in each face image, and the obtained face area is normalized and scaled to a fixed size.

[0043] Step 2: Perform illumination processing on the normalized face image with different illumination processing methods;

[0044] Different illumination processing methods are used to process the normalized face images respectively. In this embodiment, the standard single-scale Retinex lighting processing method is represented by SSR, and the normalized human face is processed with the LTV (Log...

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Abstract

The invention discloses an illumination processing method for human face images, which belongs to the field of image processing. The method comprises the following steps of: 1, inputting the human face images and normalizing the human face images to achieve a fixed size; 2, performing illumination processing on the normalized human face images by different illumination processing methods respectively; and 3, fusing the images which are subjected to the illumination processing and outputting a fused image. The human face images are processed by the single-dimensional Retinex illumination processing method of a horizontal edge filtering kernel, the horizontal edges of the human face images are highlighted, the images acquired by the different illumination processing methods are fused according to the weight coefficients of the images, and the fused images keep the advantages of images before fusion, so that the performance of human face identification is improved, and the identification rate of a human face is increased.

Description

technical field [0001] The invention belongs to the field of image processing and relates to an image illumination processing algorithm. Background technique [0002] In the past ten years, face recognition has received great attention and has been widely used in commercial and law enforcement departments, such as criminal identification, credit card identification, security systems, on-site monitoring, etc. In these practical applications, the application environment of face recognition is diverse. Due to the influence of external conditions such as lighting conditions, facial expressions, postures, angles, hairstyles, etc., the process of face recognition requires these external conditions to be relatively stable in order to achieve high performance. recognition rate. Since the surface of the face is a three-dimensional structure, point light sources tend to form some strong projections, resulting in the loss of some face details. Many commonly used recognition methods ar...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/54
Inventor 黄磊刘昌平谭怒涛
Owner HANVON CORP
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