Shadow Detection and Compensation in Aerial Images using MATLAB

Recently, Kuo-Liang Chung presented an efficient algorithm uses the ratio of hue over intensity as the parameter to determine the coarse shadow map and then the local thresholding method (STS) in which it needs the different threshold levels which is comparatively more time consuming (and if the threshold is not proper then the resultant image is not the desired image, because threshold determination is typical task in itself) for fine shadow determination in color aerial images. In our proposed method we again modify the ratio with some empirical relation that give better result taking less time. Under four testing images, experimental results show that, for all four images that are low and medium intensity images have better shadow detection but the shadow compensation algorithm is gives the good result in all the testing images. We also have the comparison between three algorithms Tsai's, STS and our proposed algorithms with result of shadow detected images [15].