Image segmentation method and device

An image segmentation and image technology, which is applied in the field of image processing, can solve the problems of poor robustness of the segmentation effect, inability to distinguish different human skin regions, and unsatisfactory results.

Active Publication Date: 2019-02-26
SHENZHEN SENSETIME TECH CO LTD
View PDF10 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the segmentation effect of the traditional method is less robust, and cannot distinguish

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image segmentation method and device
  • Image segmentation method and device
  • Image segmentation method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0037] The terms "first", "second" and the like in the specification and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

An image segmentation method and device are disclosed. The method comprises the following steps of: acquiring an image to be processed; inputting the image to be processed into a skin segmentation network to obtain a probability map of the image to be processed; a obtaining segmentation map of the image to be processed by segmenting according to the probability map, wherein the segmentation map comprises at least one of a face region, a torso region and a background region. The image segmentation network is used to process the image to be processed, the probability map of the image to be processed is automatically and quickly obtained, and the face region, torso region and background region of the image to be processed are accurately divided based on the probability map, and the corresponding segmentation map is obtained. On the other hand, based on the probability map, the dispersion degree and area criterion of skin blocks, the final confidence level can be obtained to judge the quality of skin segmentation of the image to be processed.

Description

technical field [0001] The present application relates to the field of image processing, in particular to an image segmentation method and device. Background technique [0002] The traditional image skin segmentation method is mainly based on the skin color of the human body. However, the skin color of the human body varies greatly in different scenes. Dark and if the light is not enough, the skin will be very dark. In addition, the skin color of different races is completely different. For example, the corresponding skin colors of Chinese, Indians, Americans, and Africans are yellow, brown, white, and black respectively. Therefore, the robustness of the segmentation effect of the traditional method is poor, and it cannot distinguish the skin regions of different people in the image, and the effect in complex scenes is even less ideal. Contents of the invention [0003] The present application provides an image segmentation method and device, so as to realize the segment...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00G06K9/46
CPCG06V40/168G06V40/10G06V10/462
Inventor 李传俊严琼王昊然王灿彬李佳桦
Owner SHENZHEN SENSETIME TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products