Title of article
Images Segmentation Based on Fast Otsu Method Implementing on Various Edge Detection Operators
Author/Authors
abdul jabar, hameed m. university of baghdad - college of education for pure science ibn al-haitham - dept. of physics, Iraq , hatem, amal j. university of baghdad - college of education for pure science ibn al-haitham - dept. of physics, Iraq , naji, taghreed a. university of baghdad - college of education for pure sciences ibn al-haitham - department of physics, iraq
From page
18
To page
28
Abstract
The present work aims to study the effect of using an automatic thresholding technique to convert the features edges of the images to binary images in order to split the object from its background, where the features edges of the sampled images obtained from first-order edge detection operators (Roberts, Prewitt and Sobel) and second-order edge detection operators (Laplacian operators). The optimum automatic threshold are calculated using fast Otsu method. The study is applied on a personal image (Roben) and a satellite image to study the compatibility of this procedure with two different kinds of images. The obtained results are discussed.
Keywords
Edge detection , image segmentation , and fast Otsu method
Journal title
Ibn Alhaitham Journal For Pure and Applied Science
Journal title
Ibn Alhaitham Journal For Pure and Applied Science
Record number
2602570
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