Method for positioning lip region in color face image

Abstract

The invention provides a method for positioning a lip region in a color face image. The technical scheme comprises two steps of roughly positioning the lip region and accurately positioning the lip region. The step of roughly positioning the lip region particularly comprises the following steps of: processing the input color face image by a parallel line projection segmentation technique and processing the input color face image by a complexion detection technique at the same time; and performing OR operation on the obtained results to obtain a roughly positioning result of the lip region. The step of accurately positioning the lip region particularly comprises the following steps of: establishing a narrow band region at the periphery of lip edge characteristic points in the roughly positioning result; performing texture segmentation on the narrow band region by a closed-form solution segmentation technique; and matching a characteristic template of an active shape model with a texture segmentation result and outputting an accurately positioning result of the lip region through a series of iterative processes. By the method for positioning the lip region in the color face image, the lip region can still be positioned accurately under the condition that the image comprises noise.

Description

technical field [0001] The invention belongs to the field of digital image processing, and relates to a lip area positioning method in a human face image. Background technique [0002] The extraction and precise positioning of the lip area in the face image has important applications in face recognition, speech animation synthesis, multi-mode human-computer interaction, virtual host, etc. In the process of image transmission and storage, it is often disturbed by various noises such as shot noise, optoelectronic noise, thermal noise, etc., which greatly reduces the quality of the image and hinders the precise positioning of the lip area. Therefore, how to accurately locate the lip region in face images, especially in noisy face images, is an urgent problem to be solved. [0003] The lip area is one of the most prominent parts of the human face. The early lip region localization method used the method of threshold segmentation for grayscale images, that is, simply using the ...

AI Technical Summary

Problems solved by technology

However, this method needs to train more initial feature parameters in advance. In the case of large image noise, the correctness of the initial feature parameters cannot be guaranteed, thus affecting the precise positioning of the lip area.

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