EDGE DETECTION OF OBJECTS USING MARK-CONTROLLED WATERSHED TRANSFORM
Ranjeet Kumar Singh, Gulrej · 2014
This paper introduces the object counting using the mark controlled transforms. Watershed transform is usually adopted for image segmentation in the area of image processing and image analysis because it always generates closed contours for each region in the original image. This method is good choice for image segmentation in the i¬eld of mathematical morphology. In this paper we are separating the foreground touching objects in an image. The transform is often applied for this problem. The transform finds catchment basins and watershed ridge lines in an image by treating it as a surface where light pixels are high and dark pixels are low. Segmentation using the transforms works well if we can identify, or mark, foreground objects and background locations. In this paper we will discuss the image segmentation by improved transformation in MATLAB programming environment.