Salient object detection method based on histogram power function fitting

A target detection and power function technology, applied in image data processing, image analysis, instruments, etc., can solve the problem of unsatisfactory detection effect, and achieve the effect of fast generation speed, fast execution speed, and guaranteed accuracy.

Inactive Publication Date: 2015-06-17
郑州新马科技有限公司
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method has better detection effect on single target and simple background, but the detection effect is not ideal when the salient target is located at the edge of the image, multi-target scene, complex background or blending of foreground and background

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
  • Salient object detection method based on histogram power function fitting
  • Salient object detection method based on histogram power function fitting
  • Salient object detection method based on histogram power function fitting

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] A salient target detection method based on histogram power function fitting described in the present invention includes steps such as histogram power function fitting, superpixel classification, salient region positioning, and salient target detection.

[0037] In order to illustrate the specific implementation of the salient target detection method based on the histogram power function fitting of the present invention, it is described as follows in conjunction with the embodiments and accompanying drawings:

[0038] figure 1 It is a general flowchart of the present invention, which realizes a complete process of the salient target detection method based on histogram power function fitting through the following steps, including:

[0039] Step 1: Use the FT algorithm to generate the FT saliency map of the original image, and the FT saliency map data FTimname according to the formula Calculate the histogram data hist(i) after normalization, where i=0,1,2,...,255, hist(...

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

A salient object detection method based on histogram power function fitting comprises the four steps of the histogram power function fitting, a superpixel classification, a salient region problem and salient object detection. The salient object detection method based on the histogram power function fitting has the advantages that gray threshold is obtained through using an FT saliency map, a figure manifold sorting method, an SLIC method superpixel classification and the histogram power function fitting, under the situations of multiple images, multiple targets and complex scenes, the detection efficiency is high, the performance is good, the precision is good, the problem in salient object detection fields is solved, by means of the salient object detection method based on the histogram power function fitting, the execution speed is high, and the complexity of algorithm is low; meanwhile, higher detection precision can be guaranteed.

Description

technical field [0001] The invention relates to the field of image salient target detection, in particular to a salient target detection method based on histogram power function fitting. Background technique [0002] As we all know, the rapid development of computer performance and functions provides reliable and feasible conditions for machine intelligence. With the deepening of disciplines such as machine learning and pattern recognition, people increasingly hope that computers can complete tasks more autonomously and intelligently. To achieve this goal, the computer needs to be able to understand the surrounding environment. The main way for humans to perceive external information is through vision, so the key to a computer's understanding of the surrounding environment is the ability to process visual perception. [0003] The salient target is the target that people pay the most attention to in the image, and generally contains more interesting and useful information. ...

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 Applications(China)
IPC IPC(8): G06T7/00
Inventor 杨春蕾普杰信刘中华王晓红董永生梁灵飞刘刚
Owner 郑州新马科技有限公司
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