Gel protein partitioning method based on fuzzy clustering

A fuzzy clustering and gel technology, applied in image analysis, image data processing, instruments, etc., to achieve the effect of easy implementation, high segmentation accuracy, and good separation effect

Inactive Publication Date: 2017-05-10
SHANDONG NORMAL UNIV
View PDF1 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] At present, there is no in-depth research on gel image segmentation in China. Looking at the research status abroad, various methods have advantages and disadvantages, so what we have to do is to study the ch...

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
  • Gel protein partitioning method based on fuzzy clustering
  • Gel protein partitioning method based on fuzzy clustering
  • Gel protein partitioning method based on fuzzy clustering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0044] Such as Image 6 As shown, the gel protein segmentation method based on fuzzy clustering includes the following steps:

[0045] Step 1: Preprocessing the image, first use the guided filter to denoise the image, and then use the morphological method to enhance the image contrast;

[0046] Step 2: Initialize the number of clustering categories 2≤c0, the maximum number of iterations is 100, select c different data from the protein point sample data set as the initial clustering C initial clustering center values ​​of the class center, c can be selected as 2 in the present embodiment;

[0047] Step 3: Calculate the radial width value in the kernel function;

[0048]Step 4: assign the objective function to the degree of membership u ik and cluster center v i Find the partial derivative, and set the partial derivative to 0; under the constraints, ...

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 gel protein partitioning method based on fuzzy clustering. The method comprises the steps that first, images are filtered, and the contrast ratio of the images is enhanced; second, the number of clustering categories, weighted indexes, an iteration termination threshold value, the maximum number of iterations and an initial clustering center are initialized; third, a radial width value in a kernel function is calculated; fourth, a membership matrix and a clustering center are updated; fifth, whether an absolute difference value of the current new clustering center and the last clustering center is smaller than the iteration termination threshold value or whether a current value of an iteration counter is greater than the maximum number of iterations is judged through comparison, if yes, the process is stopped, a final membership matrix and a final clustering center are output, and the sixth step continues to be executed, or else the fourth step continues to be executed after the iteration counter adds one; sixth, defuzzification is performed to obtain an optimal partitioning result. Through the method, noise eliminating ability is improved, relatively weak protein spots can be separated, and consequently more protein spots are separated; moreover, the method has a good separation effect on lightly-overlapping protein spots and has high partitioning precision.

Description

technical field [0001] The invention relates to the technical field of two-way gel image analysis, in particular to a gel protein segmentation method based on fuzzy clustering. Background technique [0002] Among many protein separation methods, two-dimensional gel electrophoresis (2-DE) technology is widely used in proteomics. It is mainly based on the difference in protein isoelectric point and molecular weight, and the proteins in the complex protein mixture are separated on a gel. Separation in the form of dots. The protein gel is then scanned using a scanning device to obtain a digitized gel image. On the image, proteins appear as dots with different shapes, sizes and grayscales, each of which represents a specific protein. Segmentation is an important step in image analysis. The study of gel images needs to extract protein spots from the image. Its main goal is to find the position of protein spots and the boundaries around protein spots, determine their number and a...

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): G06T7/00G06T7/194
CPCG06T7/0012
Inventor 辛化梅张明
Owner SHANDONG NORMAL UNIV
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