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EDGE DETECTION FOR COLOR DIGITAL IMAGES USING LINEAR FITTING FUNCTION | ||
| AL-TAQANI | ||
| Article 1, Volume 21, Issue 3, 2008, Pages 24-32 | ||
| Author | ||
| Ayten Noori Husian Al-Biaty | ||
| Abstract | ||
| The relationship of the local image elements in homogeneous regions of the image which are systemized by increasing or decreasing manner, that approachs the linear function. Therefore, we depend on this property for recognition of the edge regions from homogeneous regions, this done via using least square algorithm to fit image data to the linear formula. Then calculate summation of the differences between the real values y(x) and the approximated values Y(x) from the linear function. The small differences are verified in the homogeneous regions of the image where the values of y(x) approach Y(x) values, while the high differences are verified in the non-homogeneous regions (edge regions). Here we can depend on these differences in the edges recognition. We depend on this algorithm to detect the edge for the color image after analysis to its (Red, Green, Blue, and Luminosity). Then apply fitting algorithm each band then calculate the differences to each band and determine the mean value for the four differences in order to compare it with threshold to determine the center element of the mask as an edge or not. The result of this algorithm produced accurate and good edges comparing with the results of the other edge detection operators. | ||
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