Image Segmentation Using Waterline Threshold Method

In the waterline threshold method for image segmentation mentioned in this article, image details can be enhanced through top-hat and bottom-hat transformations. First, by applying the top-hat transformation, bright regions in the image are emphasized, while the bottom-hat transformation highlights dark regions. The difference between these two transformed results further enhances image contrast. Finally, the watershed algorithm is employed for image segmentation, effectively separating different regions in the image. In implementation, top-hat transformation can be achieved using morphological opening operations with MATLAB's imtophat() function, while bottom-hat transformation uses closing operations via imbothat(). The watershed algorithm typically involves gradient calculation using imgradient() followed by watershed() function application. This method enables effective image segmentation, allowing better understanding of different image components through morphological operations and region-based separation techniques.