Vertex Chain Code for Rectangular and Triangular Cell

Image representation always becomes an important and interesting topic in image processing and pattern recognition. Since introduced by Freeman in 1961, that is known as Freeman Chain Code (FCC) the evolution and improvement of chain code representation scheme has been widely used as a topic of research. In 1999, Bribiesca introduced a new two-dimensional chain code scheme that is called Vertex Chain Code (VCC). An element of this chain indicates the number of cell vertices, which are in touch with the bounding contour of the shape in that element position. The VCC is composed of three regular cells, namely rectangular, triangular, and hexagonal. This paper covers two of three cells; rectangular and triangular one. This research purpose the cell-representing and transcribing algorithm, which visualizes the thinned binary image into the VCCcells and then transcribes them into vertex chain code. Thinned Binary image is used as the input of the algorithm. These images will test and validate the algorithm, so that the framework that represents the thinned binary image into rectangular and triangular cells, and transcribe it into vertex chain code is valid to be used.