title,doi,url,abstract,journal,publication_year,pmid,arxiv
Design of Improved Distributed Canny Edge Detection Algorithm (IDCEDA) and its VLSI Implementations , https://doi.org/10.32628/IJSRCSEIT, https://ijsrcseit.com/CSEIT183115, Recently Automatic Image Segmentation and edge detection techniques have become more popular and commonly used in many applications like Road Sign Detection in ADAS systems Medical Image Diagnosis Machine vision systems etc. Generally information about the object is available at the edges or boundaries and high frequency noise or an artifact exists in the boundaries due to improper image acquisition process. Hence it is very difficult to interpret or process such type of images. In this paper we proposed improved distributed canny edge detection algorithm (IDCEDA) to segment or detection of the object boundaries into more accurate and it is synthesized ISE environment the final layout is developed through TSMC 0.18um technology. The proposed design gives more accurate results with minimum no. of hardware resources compared to existing approaches in terms of accuracy and less hardware resources required for implantation. The proposed algorithm performs superior than the existing approaches in terms of Hardware Resources Utilized and sharp edge boundaries of images. Finally the algorithm is implemented on vertex family of FPGA devices for effective estimation of Real time performance of the proposed algorithm., International Journal of Scientific Research in Computer Science Engineering and Information Technology, 2018, CSEIT183115