Infrared Image Edge Detection based on Morphology-Canny Fusion Algorithm

2016 ◽  
Author(s):  
Qingju Tang ◽  
Chiwu Bu ◽  
Jiansuo Zang ◽  
Dayong Li
Keyword(s):  
Edge Detection ◽  
Infrared Image ◽  
Fusion Algorithm ◽  
Image Edge Detection ◽  
Image Edge

The Implementation of Infrared Image Edge Detection Algorithm Based on CNN on FPGA

2012 ◽  
Vol 41 (11) ◽  
pp. 1354-1358 ◽  
Author(s):  
王巍 WANG Wei ◽  
安友伟 AN You-wei ◽  
黄展 HUANG Zhan ◽  
丁锋 DING Feng ◽  
杨铿 YANG Keng ◽  
...  
Keyword(s):  
Edge Detection ◽  
Infrared Image ◽  
Detection Algorithm ◽  
Edge Detection Algorithm ◽  
Image Edge Detection ◽  
Image Edge

Infrared Image Edge Detection of High Voltage Insulator Chain

2011 ◽  
Vol 58-60 ◽  
pp. 1882-1885 ◽  
Author(s):  
Ali Hui
Keyword(s):  
Edge Detection ◽  
High Voltage ◽  
Extreme Points ◽  
Infrared Image ◽  
High Voltage Transmission Line ◽  
Image Edge Detection ◽  
High Voltage Insulator ◽  
Voltage Insulator ◽  
Image Edge ◽  
Better Than

A new method for image edge detection based on envelope curve of histogram is proposed, aimed at the characteristics of high voltage transmission line. In order to inhibit noise influence on infrared image, envelop curve of histogram, got from Savitzky-Golay(S-G) filter, is used to smooth the image, and the edge of infrared image can be detected based on the extreme points of the envelop curve. Experimental results show that this new algorithm is simple and effective to detect whole contour and detail information, and is better than other traditional operators.

Defects’ geometric feature recognition based on infrared image edge detection

2014 ◽  
Vol 67 ◽  
pp. 387-390 ◽  
Author(s):  
Liu Junyan ◽  
Tang Qingju ◽  
Wang Yang ◽  
Lu Yumei ◽  
Zhang Zhiping
Keyword(s):  
Edge Detection ◽  
Feature Recognition ◽  
Infrared Image ◽  
Geometric Feature ◽  
Image Edge Detection ◽  
Image Edge

Image Edge Detection Based on Multi-Structure Elements and Nonsubsambled Contourlet Transform

2012 ◽  
Vol 591-593 ◽  
pp. 1822-1826
Author(s):  
Kun Xian He ◽  
Qing Wang ◽  
Fan He
Keyword(s):  
Edge Detection ◽  
Mathematical Morphology ◽  
Fusion Algorithm ◽  
Edge Image ◽  
Multi Scale ◽  
Image Edge Detection ◽  
Image Edge ◽  
Modulus Maxima ◽  
Single Pixel ◽  
Suppress Noise

This paper presents a fusion algorithm for image edge detection based on the mathematical morphology and the NSCT. First the de-noised image is processed by the multi-structure elements of the mathematical morphology. And then the processed image is decomposed by the NSCT into multi-scale and multi-directional sub-bands. Edges in the high-frequency sub-bands are extracted with the dual-threshold modulus maxima method. Finally the edges of the de-noised image are refined into a single pixel edge image. The simulation results show that this method can effectively suppress noise, eliminate pseudo-edges, locate accurately and detect the complete outline.

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