AN METHOD OF EXTRACTING AN INFRARED SEQUENCE IMAGE EDGE BASED ON ADAPTIVE LATERAL INHIBITION

2005 ◽  
Author(s):  
Kanglin GAO ◽  
Fengqi ZHOU ◽  
Desheng LI
Keyword(s):  
Lateral Inhibition ◽  
Image Edge ◽  
Edge Based

scholarly journals Stochastic Fractal Search Algorithm for Template Matching with Lateral Inhibition

2017 ◽  
Vol 2017 ◽  
pp. 1-14
Author(s):  
Qifang Luo ◽  
Sen Zhang ◽  
Yongquan Zhou
Keyword(s):  
Lateral Inhibition ◽  
Template Matching ◽  
Search Algorithm ◽  
Inhibition Mechanism ◽  
Edge Extraction ◽  
Matching Problems ◽  
Matching Technique ◽  
Image Edge ◽  
Stochastic Fractal Search Algorithm ◽  
Stochastic Fractal Search

Template matching is a basic and crucial process for image processing. In this paper, a hybrid method of stochastic fractal search (SFS) and lateral inhibition (LI) is proposed to solve complicated template matching problems. The proposed template matching technique is called LI-SFS. SFS is a new metaheuristic algorithm inspired by random fractals. Furthermore, lateral inhibition mechanism has been verified to have good effects on image edge extraction and image enhancement. In this work, lateral inhibition is employed for image preprocessing. LI-SFS takes both the advantages of SFS and lateral inhibition which leads to better performance. Our simulation results show that LI-SFS is more effective and robust for this template matching mission than other algorithms based on LI.

An image edge based approach for image password encryption

2016 ◽  
Vol 9 (18) ◽  
pp. 5733-5745 ◽  
Author(s):  
N. K. Sreelaja ◽  
N. K. Sreeja
Keyword(s):  
Image Edge ◽  
Edge Based

An Extraction Algorithm for Image Edge Based on Multifractal Analysis

2011 ◽  
Vol 179-180 ◽  
pp. 554-557
Author(s):  
Da Hui Li ◽  
Ming Diao
Keyword(s):  
Selection Criteria ◽  
Multifractal Analysis ◽  
Edge Extraction ◽  
Fractal Image ◽  
Extraction Algorithm ◽  
Image Edge ◽  
Edge Based

In the paper, the first introduced multifractal features of image, and defined some measures; then described procedures of the edge extraction algorithm; the final analyses the results of experiment and selection criteria commonly used in multifractal, proposing a different multiple fractal image, the algorithm has excellent effect on edge extraction, highlights the detail information of the main edge.

Seeds Microscopic Image Edge Detection Based on the Clustering Method and Applied in Andriod Platform

2014 ◽  
Vol 644-650 ◽  
pp. 1100-1103
Author(s):  
Xiao Fen Guo ◽  
Yan Li Zuo
Keyword(s):  
Clustering Algorithm ◽  
Median Filter ◽  
Threshold Value ◽  
Microscopic Image ◽  
Image Edge Detection ◽  
Image Edge ◽  
Hierarchical Clustering Algorithm ◽  
Edge Based ◽  
Roberts Operator ◽  
Suppress Noise

Sobel, Roberts operator is derived based on the differential. As a result of the template and fixed threshold value, it lacks adaptability. Median filter on images of the collected cardiac seeds maturity, use split clustering algorithm on cardiac seeds maturity for the first image gradient value clustering, condensed cluster on the result of the first split the clustering results, then secondly division cluster, and finally work out the image edge based on the second clustering results and realize on the FPGA implementation. At last the method is Applied in Andriod Platform. The experimental results show that it is more delicate to use the hierarchical clustering algorithm to detect the edge and it has stronger ability to suppress noise.

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