Method for automatically portioning hair area

A technology of region segmentation and hair, applied in the field of computer vision, can solve problems such as missed detection

Inactive Publication Date: 2011-06-22
NANJING UNIV OF POSTS & TELECOMM
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method makes comprehensive use of color and texture features, but there are missed detections under complex back

Method used

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  • Method for automatically portioning hair area
  • Method for automatically portioning hair area
  • Method for automatically portioning hair area

Examples

Experimental program
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Embodiment Construction

[0043] Such as figure 2 As shown, an automatic hair region segmentation method includes the following steps:

[0044] Step 1: Detect the face, and use the trained cascade classifier to detect the position of the face from an input image.

[0045] Step 2: Mark the target background mark, use the position of the face to draw the area of ​​interest, and find the most likely target mark and background mark based on features such as location and color.

[0046] Step 3: Image segmentation. According to the mark made in step 2, the hair area is segmented using image segmentation technology.

[0047] Among them, the face detection described in step 1 includes: classifier training, training the same classifier (weak classifier) ​​for different training sets, and then combining the classifiers obtained on these different training sets to form one The final strong classifier; in the detection process, use the trained classifier to detect the face and get the face area, use R f Said.

[0048] Wher...

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Abstract

The invention provides a method for automatically portioning a hair area, relating to the technical field of a hair partitioning method and belonging to the field of computer vision. The method comprises the following steps of: step 1, detecting the face: using a face detection module for detecting the face position from one input face picture by using a trained cascade classifier; step 2, marking target background marks: using a target background marking module to line out the interested area, and finding out the most possible target mark and the background mark according to position and color characteristics; and step 3, image partitioning: according to the target background marks, using an image partitioning module to partition the hair area and output the hair area. The method provided by the invention uses the image processing technology to perform face detection, target background marking, image partitioning and the like to an input image, and output the hear area in the image. The method can accurately detect the hair area under complicated background conditions, which provides good basis to the research and application of identity recognition, gender and age estimation, image retrieval and the like.

Description

Technical field [0001] The invention relates to an automatic hair segmentation method, belonging to the field of computer vision. Background technique [0002] Hair is an important feature of the human body. Using this feature, we can realize applications such as identity recognition, age and gender estimation, and image retrieval. Studies have shown that hair is an important feature for us to distinguish similar faces. The change of hairstyle may make us make wrong judgments about the identity of a person. Using hair features can provide auxiliary information when identifying people. Therefore, it is of great significance to the application of hair features in the field of computer vision. [0003] The shape and color of the hair will be different due to the difference of human gender, age, and race. People can also change their hair style and color at will, which brings certain difficulties to the detection, description, analysis and application of hair characteristics. However...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62
Inventor 孙知信邹大海
Owner NANJING UNIV OF POSTS & TELECOMM
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