An Extraction Algorithm for Image Edge Based on Multifractal Analysis

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.179-180.554 ◽

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.

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An Improved Edge Extraction Algorithm for Lithography Micrographs

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.190-191.1109 ◽

2012 ◽

Vol 190-191 ◽

pp. 1109-1112

Author(s):

Shan Shan Gong ◽

Mu Jun Li

Keyword(s):

Shape Error ◽

Edge Extraction ◽

Micro Structure ◽

Basic Algorithm ◽

Canny Operator ◽

Detection Algorithms ◽

Extraction Algorithm ◽

Image Edge ◽

Basic Image ◽

Image Edges

For shape error analysis and correction of micro-structure in lithography, image edges should be extracted from micrographs of the structures. First several basic image edge detection algorithms are analyzed and compared. Then according to the unique conditions of micrographs in lithography experiments, an improved image edge extraction method is investigated. In this method Canny operator is selected as a basic algorithm, while the mathematical morphology is used in pre-processing for de-noising to reduce the uneven phenomenon. And an appropriate enhancement algorithm is used to enhance image contrast. Experimental results show that this method can extract the image edge from the micro-structure graphs effectively.

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QSobel: A novel quantum image edge extraction algorithm

Science China Information Sciences ◽

10.1007/s11432-014-5158-9 ◽

2014 ◽

Vol 58 (1) ◽

pp. 1-13 ◽

Cited By ~ 9

Author(s):

Yi Zhang ◽

Kai Lu ◽

YingHui Gao

Keyword(s):

Edge Extraction ◽

Quantum Image ◽

Extraction Algorithm ◽

Image Edge

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A multimedia image edge extraction algorithm based on flexible representation of quantum

Multimedia Tools and Applications ◽

10.1007/s11042-019-7173-8 ◽

2019 ◽

Vol 78 (17) ◽

pp. 24067-24082 ◽

Cited By ~ 2

Author(s):

Zhongyue Lu ◽

Xiaoming Wang ◽

Jianzhong Shang ◽

Zirong Luo ◽

Chongfei Sun ◽

...

Keyword(s):

Edge Extraction ◽

Extraction Algorithm ◽

Image Edge ◽

Multimedia Image

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Image edge extraction algorithm based on adaptive wiener filtering

International Journal of Information and Communication Technology ◽

10.1504/ijict.2021.10042124 ◽

2021 ◽

Vol 1 (1) ◽

pp. 1

Author(s):

Yonghao Yan ◽

Jiangtao Qin ◽

Zhengyang Zhang ◽

Jinlei Liu ◽

Jialong Sun ◽

...

Keyword(s):

Wiener Filtering ◽

Edge Extraction ◽

Extraction Algorithm ◽

Image Edge

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HMT Model and B-Spine Wavelet Based Intelligent Medical Image Edge Extraction Algorithm

10.1109/icinis.2008.138 ◽

2008 ◽

Cited By ~ 1

Author(s):

Anna Wang ◽

Zhaowei Gu ◽

Wang Bo ◽

Gongjian Shen

Keyword(s):

Medical Image ◽

Edge Extraction ◽

Extraction Algorithm ◽

Image Edge

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Camera Calibration Method Based on Circle Plane Board

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.475-476.184 ◽

2013 ◽

Vol 475-476 ◽

pp. 184-187

Author(s):

Wen Guo Li ◽

Shao Jun Duan

Keyword(s):

Camera Calibration ◽

Calibration Method ◽

Lens Distortion ◽

Edge Extraction ◽

Circle Plane ◽

Circle Centre ◽

Extraction Algorithm ◽

Calibration Algorithm ◽

Characteristic Points ◽

Distortion Parameters

We present a camera calibration method based on circle plane board. The centres of circles on plane are regarded as the characteristic points, which are used to implement camera calibration. The proposed calibration is more accurate than many previous calibration algorithm because of the merit of the coordinate of circle centre being obtained from thousand of of edge pionts of ellipse, which is very reliable to image noise caused by edge extraction algorithm. Experiments shows the proposed algorithm can obtain high precise inner parameters, and lens distortion parameters.

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