Implementation of parallel morphological filter with different structuring elements

This paper gives comparative analysis of parallel morphological filter with previously designed morphological filters. In this paper, implementation is done for gray image using various structuring elements. In past, multiple systems have been developed that have huge latency and fewer throughputs. This system reduced latency and improved through by using parallel approach. It provides a programmable and efficient implementation of basic morphological operators such as Dilation and Erosion using efficient parallel technique for different applications. It reduces processing time with respect to image dimension. Here performance analysis is based on different shape and size of structuring elements which support parallelism. MATLAB R2013a and Xilinx Design Suite 13.1 ISE are used for synthesizing this architecture that is verified by using Xilinx ISIM Simulator and prototyped on Spartan 3E FPGA Board. The proposed architecture is examined on different gray scale images.