A Hybrid Edge Detection Method for Cell Images Based on Fuzzy Entropy and the Canny Operator

2015 ◽  
Vol 2 (2) ◽  
Author(s):  
Yuexiang Li ◽  
Siu-Yeung Cho ◽  
John Crowe
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Fuzzy Entropy ◽  
Canny Operator ◽  
Edge Detection Method

Polynomial Interpolation Sub-Pixel Edge Detection Method Based on Improved Canny Operator

2014 ◽  
Vol 563 ◽  
pp. 203-207
Author(s):  
Kun Lin Yu ◽  
Zhi Yu Xie
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Polynomial Interpolation ◽  
Detection Algorithm ◽  
Edge Image ◽  
Canny Operator ◽  
Edge Detection Algorithm ◽  
Canny Edge ◽  
Image Edge ◽  
Edge Detection Method

According to the shortcoming of traditional Canny edge detection algorithm is sensitive to noise and low positioning accuracy, this paper proposes an algorithm of Polynomial interpolation Sub-pixel edge detection based on improved Canny operator: We first use improved Canny operator edge detection algorithm to extract rough image edge, then use the quadratic Polynomial interpolation to calculate on the rough extraction edge, finally refine the edge image. Experiments show that the improved method is better than the traditional detection method can accurately locate the image edge.

An Adaptive Edge Detection Method for Image Polluted by Hybrid Noise in Image Measurement

2011 ◽  
Vol 214 ◽  
pp. 156-162
Author(s):  
Bei Zhi Li ◽  
Hua Jiang Chen ◽  
Jian Guo Yang
Keyword(s):  
Edge Detection ◽  
Gaussian Noise ◽  
Impulse Noise ◽  
Detection Method ◽  
Selection Method ◽  
Threshold Selection ◽  
Hybrid Filter ◽  
Image Measurement ◽  
Canny Operator ◽  
Edge Detection Method

Edge detection directly affects the accuracy of image measurement. In this paper, focusing on the edge detection of the image of mechanical part polluted by hybrid noise consisting of Gaussian noise and impulse noise, an adaptive edge detection method is proposed. The proposed method combines a new hybrid filter smoothing noise adaptively with Canny operator to avoid the conflict of Canny operator between noise removing and edge locating, and uses Otsu threshold selection method to determine Dual-threshold of Canny operator adaptively. Using the gauge image polluted by hybrid noise as experiment object, the performance of the proposed method is evaluated qualitatively and quantitatively. Experimental results show that the proposed edge detection method has good performance.

scholarly journals Edge Detection Method for Latent Fingerprint Images Using Intuitionistic Type-2 Fuzzy Entropy

2016 ◽  
Vol 16 (3) ◽  
pp. 205-218 ◽  
Author(s):  
Devarasan Ezhilmaran ◽  
Manickam Adhiyaman
Keyword(s):  
Edge Detection ◽  
Distance Measure ◽  
Detection Method ◽  
Fuzzy Entropy ◽  
Latent Fingerprint ◽  
Exact Boundary ◽  
Quality Image ◽  
Edge Detection Method ◽  
Fuzzy Divergence

Abstract A latent fingerprint is an interesting issue because of it has attained from crime places and moreover contained a low quality image, less number of features and unwanted noises. It is necessity to extract the original image with exact boundary from the surface for further processing such as authentication, identification and matching. In this work, a new distance measure has been proposed for latent fingerprint edge detection using Intuitionistic Type-2 Fuzzy Entropy (IT2FE) and a comprehensible definition is made for Intuitionistic Type-2 Fuzzy Sets (IT2FS). IT2FS takes into account of uncertainty in the form of membership function which is also termed as Intuitionistic Type-2 Fuzzy Divergence (IT2FD). The experiment is conducted with public domain fingerprint databases such as FVC-2004 and IIIT-latent fingerprint. The edge detection is carried out with the proposed method and the results are discovered better regarding existing method.

An Adaptive Edge Detection Method Based on Canny Operator

2011 ◽  
Vol 255-260 ◽  
pp. 2037-2041
Author(s):  
Bai He Lang ◽  
Ling Yun Shen ◽  
Tai Lin Han ◽  
Yu Qun Chen
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Threshold Value ◽  
Detection Algorithm ◽  
Canny Operator ◽  
Edge Detection Algorithm ◽  
Sobel Operator ◽  
Otsu Method ◽  
Edge Detection Method ◽  
Roberts Operator

This paper proposes an adaptive Canny operator edge detection algorithm. The proposed method can automatically set the threshold value according to the different image gray-scale gradient histogram adaptively and improve the performance in the detail edge detection and good localization. Experiments show that this method produces better edge detection results performance than the Otsu method. Besides our method, Roberts operator, Prewitt operator, Sobel operator, Log operator and Canny operator based on Otsu algorithm are also tested for comparisons.

scholarly journals Adaptive Image Edge Extraction Based on Discrete Algorithm and Classical Canny Operator

Symmetry ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 1749
Author(s):  
Phusit Kanchanatripop ◽  
Dafang Zhang
Keyword(s):  
Edge Detection ◽  
Feature Detection ◽  
Detection Method ◽  
Canny Operator ◽  
One Dimensional ◽  
Image Edge Detection ◽  
Discrete Algorithm ◽  
Detection Technology ◽  
Image Edge ◽  
Edge Detection Method

In order to improve the accuracy of image edge detection, this paper studies the adaptive image edge detection technology based on discrete algorithm and classical Canny operator. First, the traditional sub-pixel edge detection method is illustrated based on the related literature research. Then, Canny operator is used for detection, the edge model of the quadric curve is established using discrete data, and the adaptive image edge parameters are obtained using one-dimensional gray moment. Experimental results show that the accuracy of feature detection is 99%, which can be applied to the practice of image edge detection to a certain extent.

scholarly journals A Canny operator road edge detection method based on color features

2020 ◽  
Vol 1629 ◽  
pp. 012018
Author(s):  
Shigang Wang ◽  
Shukun Wu ◽  
Xuesong Wang ◽  
Zhenglin Li
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Canny Operator ◽  
Color Features ◽  
Edge Detection Method

Image Edge Detection Based on Direction Fuzzy Entropy

2011 ◽  
Vol 268-270 ◽  
pp. 1234-1238
Author(s):  
Xian Qing Ling ◽  
Jun Lu ◽  
Lei Wang
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Feature Space ◽  
Fuzzy Entropy ◽  
Noise Performance ◽  
Edge Pixel ◽  
Image Edge Detection ◽  
Image Edge ◽  
Edge Detection Method ◽  
Image Edges

To improve the ability of the fuzzy edge detection and anti-noise performance, the paper proposes a new weighted direction fuzzy entropy image edge detection method. The proposed method converts the feature space of image gray to the fuzzy feature space, and then extracts the weighted information measure of the direction structural in the fuzzy entropy feature space. Finally, the proposed method determines the edge pixel by an adaptive threshold after non-maxima suppression. The experiment demonstrates that the proposed method can extract the image edges effectively by means of the fuzzy edge detection.

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