Edge Detection of Angiogram Images using Image Enhancement Techniques and High Pass Filtering

Parameshwarappa, Vinay and Nandish, S (2013) Edge Detection of Angiogram Images using Image Enhancement Techniques and High Pass Filtering. International Journal of Digital Image Processing, 5 (12). pp. 573-577. ISSN 0974 – 9586

[img] PDF
Nandish_CiiT.pdf - Published Version
Restricted to Registered users only

Download (88kB) | Request a copy
Official URL: http://www.ciitresearch.org/dip.html


Angiography is a medical procedure used in the observation of the blood vessels such as the arteries and veins in the human body. The measurements of these blood vessels are important in medical research. Edge detection is a fundamental image processing technique which is used in many computer vision solutions. The main goal of edge detection algorithms is to find and detect the most relevant edges in an image which are sometimes to hard to locate by the human vision. In this paper the edges of the blood vessels seen in the angiogram images which are obtained through angiography procedures are detected using the proposed algorithm. This algorithm involves image enhancement techniques such as gray level transformations, histogram processing and frequency domain filtering. We have developed a Gaussian high pass algorithm using distance matrix that is been used along with the proposed edge detection algorithm.

Item Type: Article
Uncontrolled Keywords: Angiography, Blood Vessels, Edge Detection, Frequency Domain Filtering, Histogram Processing
Subjects: Information Sciences > MCIS Manipal
Depositing User: MIT Library
Date Deposited: 21 Apr 2016 11:16
Last Modified: 21 Apr 2016 11:16
URI: http://eprints.manipal.edu/id/eprint/145906

Actions (login required)

View Item View Item