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.

Research on Algorithm of Detection of Weld Image Edge Based on Lines Positioning Theory

2011 ◽  
Vol 291-294 ◽  
pp. 2704-2708
Author(s):  
Jun Li ◽  
Ping Huo ◽  
Xiang Yang Li ◽  
Jing Bo Jia
Keyword(s):  
Image Processing ◽  
Positioning Theory ◽  
Image Preprocessing ◽  
Linear Correction ◽  
Traditional Mode ◽  
Image Edge ◽  
Location Algorithm ◽  
Basic Ideas ◽  
Edge Based ◽  
Traditional Image

To solve the difficulty in processing the weld image of multi-threshold and small size using the traditional image processing algorithms, image preprocessing has been optimized combining with the traditional mode of image processing. The maximum distance location algorithm and the line grey location algorithm have been designed on the basis of lines position combining with the specific characteristics of the weld image. These two algorithms are applied to process the weld image of multi-threshold and small size. Finally the wrong values of the weld images are removed according to the Pauta rule, thus achieving a linear correction of the edge. This paper introduces the basic ideas and the implementation methods of the two positioning algorithms in details. The experimental results show that the two algorithms can effectively resistant the interferences of noise, have a high precision positioning, and retain edge images with better detail characteristics.

Sign in / Sign up

Export Citation Format

Share Document