Bidirectional Image Thresholding Algorithm Using Combined Edge Detection and P-tile Algorithms


Authors

Moslem Taghizadeh - M.S.c student in Department of Electronic engineering, Imam Hossein University, Tehran, Iran Mohammad Reza Mahzoun - PhD in Department of Electronic engineering, Faculty of Engineering, Imam Hossein University, Tehran, Iran


Abstract

The main disadvantage of traditional global thresholding techniques is that they do not have an ability to exploit information of the characteristics of target images that they threshold. In this paper, we propose a new approach based on combination of modified p-tile and edge detection algorithms to have more accurate object segmentation. Using our proposed method, it is shown that almost all of our experiments resulted to better object segmentation than using traditional methods.


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ISRP Style

Moslem Taghizadeh, Mohammad Reza Mahzoun, Bidirectional Image Thresholding Algorithm Using Combined Edge Detection and P-tile Algorithms, Journal of Mathematics and Computer Science, 2 (2011), no. 2, 255--261

AMA Style

Taghizadeh Moslem, Mahzoun Mohammad Reza, Bidirectional Image Thresholding Algorithm Using Combined Edge Detection and P-tile Algorithms. J Math Comput SCI-JM. (2011); 2(2):255--261

Chicago/Turabian Style

Taghizadeh, Moslem, Mahzoun, Mohammad Reza. "Bidirectional Image Thresholding Algorithm Using Combined Edge Detection and P-tile Algorithms." Journal of Mathematics and Computer Science, 2, no. 2 (2011): 255--261


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