A salient object detection method and system based on image layering technology

A layered technology, object detection technology, applied in image analysis, image enhancement, image data processing and other directions, can solve the problem that the target object is difficult to be accurately identified, achieve a wide range of applications, ensure accurate detection, and low computational complexity Effect

Active Publication Date: 2021-12-14
ZONGMU TECH SHANGHAI CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the above-mentioned technical defects, the object of the present invention is to provide an object detection method and system based on image layering technology, which is used to solve the problem that the target object in the shadow of the background image is difficult to be accurately identified

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
  • A salient object detection method and system based on image layering technology
  • A salient object detection method and system based on image layering technology
  • A salient object detection method and system based on image layering technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The advantages of the present invention are further described below in conjunction with the accompanying drawings and specific embodiments, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0029] like figure 1 As shown, the present invention discloses a salient object detection method based on image layering technology. Image layering technology is a common method for separating the target object from the background. The s...

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 discloses a salient object detection method based on image layering technology, which includes collecting the pixel value of each pixel in the background image; calculating the distance sum between it and other pixels for each pixel; and performing the distance sum of each pixel Convert the salient feature value of the pixel, and obtain the feature image according to the salient feature value of each pixel; record the maximum and minimum values ​​of all the salient feature values, calculate the difference between the maximum value and the minimum value, and map the feature image to within the numerical range; map the background image to the numerical range by corresponding pixel values ​​and saliency eigenvalues ​​to obtain the first stretched image; subtract the first stretched image from the feature image to obtain a sub-background image; map the sub-background image to Obtain the second stretched image in the numerical range; subtract the feature image from the second stretched image to obtain the target image. The invention also discloses an object detection system based on the above method, which includes a collection module, an image processing module, a calculation module and an output module.

Description

technical field [0001] The invention relates to the field of image layering technology detection, in particular to a method and system for detecting a salient object based on image layering technology. Background technique [0002] At present, for target object detection in complex environmental backgrounds, it is often easily affected by background information. For example, when the vehicle target is detected on the road, the sun casts a huge shadow from the trees on both sides of the road on a sunny day, and the vehicle happens to be in the shadow. At this time, it will be found that the shadow is more prominent on the image, and the vehicle is prominent in a local area inside the shadow. Therefore, if you want to detect the vehicle from the image, you can first separate the shadow, and then separate the vehicle from the shadow. This is the so-called "image layering". [0003] In general, if the target object exists in the background image but it is not easy to separate ...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/70
CPCG06T2207/20192
Inventor 吴子章王凡唐锐
Owner ZONGMU TECH SHANGHAI 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap