Method for processing non-feature regional images in face detection

Abstract

The invention provides a method for processing non-feature regional images in face detection, belonging to the technical field of image processing. The method comprises the following four steps: firstly carrying out face detection and location, adjusting facial rectangular frame queues, and selecting one facial rectangular frame queue for image processing; extracting a facial contour, extracting a facial contour line by means of a geometric active contour model on the basis of face location, and then determining a facial region; separating out facial features in the facial region such as eyes, a nose, a mouth and the like by using a binarization image processing method, and then locating the facial features; and processing the non-feature facial regional images on the basis of location of the facial features to remove spots, wrinkle and flaws on facial skin in the non-feature facial region. The method can help rapidly detect and locate a plurality of facial positions in digital images or video, and completely preserve details of the facial images to achieve the effect of automatic facial beautification.

Description

technical field [0001] The present invention relates to a method in the technical field of image processing, in particular to a method for image processing of non-characteristic regions in face detection. Background technique [0002] Due to the rapid development of digital imaging technology, digital images and videos are becoming more and more popular in daily work and life. With the improvement of the imaging resolution of digital imaging equipment, images and videos can clearly display all the details of the human face, even including some spots, wrinkles and other factors that affect the appearance. Digital photos and videos not only bring the convenience of shooting and saving, but also make post-processing and modification of images and videos possible. Face beautification processing technology is to better remove the spots, wrinkles and other undesirable factors on the skin under the premise of relatively complete preservation of facial details, such as eyebrows and...

AI Technical Summary

Problems solved by technology

But there are still some deficiencies: (1) Since the entire image is processed directly, the processing time is longer; (2) The processing effect on large spots and deep wrinkles in the facial skin is not ideal

The disadvantages of this method are: (1) the use of local brightness smoothing and blurring to remove spots on the face will cause image blurring and reduce the quality of the image; (2) the division of facial feature areas is too rough, such as using Rectangular areas are used to represent sub-regions such as eyes and mouth, resulting in incomplete treatment of wrinkles such as corners of eyes and mouth

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