A Fast Horizontal Edge Detection Algorithm
This paper proposes a new algorithm to detect horizontal edges of objects and regions inside images. In addition to its simplicity, the results have confirmed that the proposed algorithm is faster than Sobel operator by about 6 - 11 times. To apply this algorithm, an adaptive thresholding method is applied on the input image, then, an enhancement procedure is used to remove noise and unwanted lines from the image. After that, the horizontal edges are detected. The discussed results and samples have confirmed that the proposed algorithm is robust with inclined images and complex background.