An Approach of Separating Touched Objects Based on 2D Image Morphological Processing
Yang Ren-er · Journal of Ningbo University · 2005
In many image analysis and processing problems, discriminating the size and shape among the objects projected in an image is an important practice. It is relatively easy to distinguish these features among those objects already separated from each other. The problems will be undoubtedly more complex if the objects are touched or/and overlapped. The algorithm that can be used to separate the touches and overlaps existing among the objects in an image is presented. The approach is first to convert the gray-scale image to its corresponding binary image and then consequently to the 3D topographic one. A mask is engineered to search the topographic surface for the saddle point, from which the cutting orientation is determined followed by the separating operation. The algorithm is tested on a real image and the running result is quite satisfying and encouraging.