Method for extracting depth continuity object images from image

A technology for extracting depth and object images, applied in image analysis, image data processing, instruments, etc., can solve the problems that the stereoscopic effect cannot directly reflect the depth changes of local parts, the key points are not easy to obtain, and the parallel algorithm is not easy to implement.

Active Publication Date: 2015-12-16
BEIJING HUAJIE IMI TECH CO LTD
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, for the target object to be segmented in the image, the color map is mainly used for shooting and segmentation. Since the color map is affected by the light and texture color, and the color map has three channels of image information, the object segmentation in the image segmentation is not accurate. Stability and low efficiency of image processing, and there has been no stable and effective solution to these problems
Although this method ca

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
  • Method for extracting depth continuity object images from image
  • Method for extracting depth continuity object images from image
  • Method for extracting depth continuity object images from image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The specific implementation manners of the present invention will be further described in detail below in conjunction with the drawings and examples.

[0033] combine figure 2 , a method for extracting a continuous depth object image from a background image proposed by the present invention, the specific steps include: step 1, obtaining a depth image representing the distance between the object and the camera; The depth continuous relationship between them, and the first pass marking operation of marking the depth continuous relationship on the pixel points on the label map, the label map is a map composed of the label numbers corresponding to the pixels of the depth image; step 3, in the first step At the same time of scanning the whole image, the marker relationship table operation is performed on the marker numbers of the depth image, including establishing a marker relationship table for the marker numbers of the depth image, and tracking the connection sequence be...

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

The invention relates to a method for extracting depth continuity object images from an image. The method is particularly characterized by comprising steps that, 1, a depth image standing for a distance from an object to a camera is acquired; 2, a first total-graph scanning is carried out, depth continuity relation among pixel points are determined, first mark operation for marking depth continuity relation of the pixel points on a labeled graph is carried out; 3, during a process of first total-graph scanning, mark relation table operation on mark numbers of the depth image is carried out; 4, final mark number integration operation of a mark relation table is carried out; 5, second total-graph scanning on labeled graphs is carried out to realize merging mark, after second mark operation, the pixel points of a depth continuity object stand for same mark number in a mark graph; and 6, the depth continuity object mark graph is outputted. Through the method, stable and effective segmentation of the target object image can be realized through depth continuity of the target object in the depth image, and thereby image processing efficiency is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of computer image processing, in particular to a method for extracting depth continuous object images from images. Background technique [0002] At present, for the target object to be segmented in the image, the color map is mainly used for shooting and segmentation. Since the color map is affected by light and texture color, and the color map has three channels of image information, the object segmentation in the image segmentation is not accurate. Stability and low efficiency of image processing, and there has been no stable and effective solution to these problems. [0003] U.S. patent application US8625897 discloses a foreground and background image segmentation scheme (FOREGROUNDANDBACKGROUNDIMAGESEGMENTATION), which uses geodesic distance as the way to segment objects, and requires repeated scanning for different objects, although the segmentation of objects in the scene can be completed and identifi...

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): G06T7/00
Inventor 王行李骊李朔郭玉石
Owner BEIJING HUAJIE IMI 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