Performance evaluation of edge detection techniques for square pixel and hexagon pixel images

In today’s world all the imaging data or information is processed and stored in a digital form. The digital imaging used in many applications like forensic imaging, medical imaging and computer graphics etc. The image is first captured by the hardware and then converted into digital form and stored in memory device. The digital images are represented and stored in the form of square pixel. The square pixel image is formed by using the average of square area of smaller square pixel. Another form to digitize an image is hexagonal pixel. The hexagonal pixel structure is preferred over the square pixel structure, due to its advantages like angular resolution, higher quantization error and less aliasing effect. In this paper, firstly picture quality of image using hexagonal pixel structure is reviewed. Another contribution in this paper is comparison between various edge detection techniques on square pixel structure, hexagonal pixel structure and enhanced hexagonal pixel structure using Gaussian filter. The experimental result shows that the image edge detection significantly reduces the amount of data and filters out useless information.