Universiti Teknologi Malaysia Institutional Repository

A hardware/software co-design architecture of canny edge detection

Haghi, Abbas and Ullah Sheikh, Usman and Marsono, Muhammad Nadzir (2012) A hardware/software co-design architecture of canny edge detection. In: 4th International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2012, 9-10/6/2012, Kuantan, Malaysia.

Full text not available from this repository.

Official URL: https://pure.utm.my/en/publications/a-hardwaresoft...

Abstract

The Canny edge detection algorithm has been widely used in image processing and computer vision applications. This algorithm is complex since it requires successive computationally-heavy stages such as smoothing, computing gradient, thinning and thresholding. These steps contain many functions based on multiplications, divisions and arc tan. Hence, processing high quality images using programmable processors such as digital signal processors is slow, multiple processing elements are required. For custom architecture, to efficiently use the hardware resources and improve the processing throughput, some hardware features like pipelining must be employed. This paper proposes a hardware/software co-design architecture which speeds up Canny processing time by 19 times compared to the software implementation. Targeted for NiosII system on Altera FPGA (Field Programmable Gate Array) platform, the co-design provides a balance between hardware acceleration and software reprogram ability.

Item Type:Conference or Workshop Item (Paper)
Subjects:N Fine Arts > NA Architecture
Divisions:Geoinformation and Real Estate
ID Code:36329
Deposited By: Liza Porijo
Deposited On:17 Feb 2014 09:26
Last Modified:01 Aug 2017 10:58

Repository Staff Only: item control page