Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Grapefruit image segmentation method applying adaptive gauss and acoustic search

An image segmentation and adaptive technology, applied in image analysis, image data processing, character and pattern recognition, etc., can solve the problem of getting trapped in local extrema, improve segmentation accuracy, improve search performance, and reduce trapped in local extremum. effect of probability

Inactive Publication Date: 2017-11-24
JIANGXI UNIV OF SCI & TECH
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a grapefruit image segmentation method using adaptive Gaussian harmony search, which can overcome the shortcoming of easily falling into local extremum when traditional harmony search algorithm is applied to grapefruit image segmentation to a large extent, the present invention It can reduce the probability of falling into local extremum and improve the segmentation accuracy of grapefruit image

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
  • Grapefruit image segmentation method applying adaptive gauss and acoustic search
  • Grapefruit image segmentation method applying adaptive gauss and acoustic search
  • Grapefruit image segmentation method applying adaptive gauss and acoustic search

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0052] Step 1, using an image acquisition device to collect a picture such as figure 1 Shown grapefruit image IMG, then the image IMG is converted to the image IMGN of the YCrCb color space, and the Cb color component of the image IMGN is extracted as clustering data;

[0053] Step 2, the user initializes the parameters, sets the size of the harmony library HMS=30, the number of division categories D=2, and the maximum number of evaluations MAX_FEs=120;

[0054] Step 3, let the current evolution algebra t=0, the current evaluation times FEs=0, select the probability HMCR t =0.9, the disturbance probability PAR t = 0.5;

[0055] Step 4, randomly generate the initial harmony library Among them: individual subscript i=1,2,...,HMS; individual for Harmony Bank M t The ith individual in , and the individual The cluster centers of D segmentation categories are stored; for individual The cluster center of the j-th segmentation category in , and according to the formula (1...

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 grapefruit image segmentation method applying adaptive gauss and acoustic search. In the invention, an adaptive gauss and acoustic search algorithm is used to optimize a cluster center of a grapefruit image segmentation category. In the adaptive gauss and acoustic search algorithm, firstly, an adaptive gauss search operation operator is executed to generate a new individual; and then, according to an adaptive value of the new individual generated in a search process, a control parameter is dynamically adjusted so that search performance of the algorithm is increased. In the invention, a probability of falling into a local extremum can be reduced and segmentation precision of a grapefruit image is increased.

Description

technical field [0001] The invention relates to the field of image segmentation, in particular to a grapefruit image segmentation method using adaptive Gaussian harmony search. Background technique [0002] Grapefruit image segmentation technology plays a very important role in the digitized grapefruit planting industry. For example, grapefruit image segmentation is the supporting technology of grapefruit picking robot; grapefruit image segmentation is the basic technology of grapefruit quality automatic sorting system; grapefruit image segmentation is the basic technology of grapefruit disease intelligent detection system. The grapefruit image segmentation problem is often solved by reducing it to an optimization problem, but it is a discontinuous and nonlinear optimization problem. Therefore, traditional optimization methods are difficult to effectively solve the problem of grapefruit image segmentation. For this reason, people usually use evolutionary algorithms that si...

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): G06T7/10G06T7/90G06K9/34G06K9/46G06K9/62
CPCG06T7/10G06T7/90G06V10/267G06V10/56G06F18/23
Inventor 郭肇禄巫光福王洋章银娥杨火根李大海余法红
Owner JIANGXI UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com