Radiography calibration marker detection using Hough transformation

Abstract

In this paper we analyse the possibility of simple detection of circular radiography markers. To detect the marker, we utilised the Hough transform. Two approaches were analysed: with detecting image edges and without image edge detection where pixel gradient was used in the Hough voting process, i.e. to increase the accumulator values. Approaches were evaluated on 13 clinical radiography images. It was shown that the approach that detects image edges spatially matches the reference circles only 0.22 % less than manual annotation values, whereas the approach that uses just the gradient magnitudes spatially matches the reference circles 3.2 % less than manual annotations.

Circular Hough Transform to improve viable Saccharomyces cerevisiae identification

“…al. [10], who developed approaches on 13 clinical radiography images. The manual results achieved 96.46%, which was almost surpassed by the 96.24% HT with edge detection.…”