<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>A practical modification of the Hough transform is proposed that improves the detection of low-contrast circular objects. The original circular Hough transform and its numerous modifications are discussed and compared in order to improve both the efficiency and computational complexity of the algorithm. Medical images are selected to verify the algorithm. In particular, the algorithm is applied to localize cell nuclei of cytological smears visualized using a phase contrast microscope.</p></abstract>

A practical modification of the Hough transform is proposed that improves the detection of low-contrast circular objects. The original circular Hough transform and its numerous modifications are discussed and compared in order to improve both the efficiency and computational complexity of the algorithm. Medical images are selected to verify the algorithm. In particular, the algorithm is applied to localize cell nuclei of cytological smears visualized using a phase contrast microscope.

Circular Object Detection Using a Modified Hough Transform

Institute of Computer Engineering, Control and Robotics, Wrocław University of Technology, ul. Janiszewskiego 11/17 50--372 Wrocław, Poland

International Journal of Applied Mathematics and Computer Science

{"article-title":"Circular Object Detection Using a Modified Hough Transform"}

A practical modification of the Hough transform is proposed that improves the detection of low-contrast circular objects. The original circular Hough transform...

Circular Object Detection Using a Modified Hough Transform

Online veröffentlicht: 21. März 2008

Seitenbereich: 85 - 91

DOI: https://doi.org/10.2478/v10006-008-0008-9

Schlüsselwörter
Hough transform, medical imaging, image processing, circular shape recognition

This content is open access.

Circular Object Detection Using a Modified Hough Transform

Online veröffentlicht: 21. März 2008

Seitenbereich: 85 - 91

DOI: https://doi.org/10.2478/v10006-008-0008-9

SchlüsselwörterHough transform, medical imaging, image processing, circular shape recognition

This content is open access.

Schlüsselwörter
Hough transform, medical imaging, image processing, circular shape recognition