Modified Algorithm Marker-Controlled Watershed Transform for Image Segmentation Based on Curvelet Threshold
Med Ali Hamdi · 2014
With the repaid advancements of computing technology, any use of the computer-based technologies Increase in different scientific fields. The segmentation's image is an important problem in different fields of computer vision and image processing. The segmentation is a process of dividing image according to its characteristic e.g., objects and color present in the images. There are different methods in image segmentation. The focus of this study is a morphological operator called watershed segmentation. The tool MATLAB is used in this study. New result of watershed segmentation entirely relay on the image contrast. Image contrast may be degraded during image acquisition. So watershed algorithm can generate under or over segmentation on badly contrast images. In order to reduce these deficiencies of watershed algorithm a preprocessing step using Curvelet transform (CT) is performed on input images. Curvelet transform is a strong approach, which improves the image contrast in the way image is degraded.