Multiscale edge detection and parametric shape modeling for boundary delineation in optoacoustic images

Autor:	Mandal, Subhamoy, Sudarshan, Viswanath Pamulakanty, Nagaraj, Yeshaswini, Ben, Xose Luis Dean, Razansky, Daniel
Rok vydání:	2015
Předmět:	Physics - Medical Physics Computer Science - Computer Vision and Pattern Recognition Electrical Engineering and Systems Science - Image and Video Processing
Zdroj:	Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE , vol., no., pp.707-710, 25-29 Aug. 2015
Druh dokumentu:	Working Paper
DOI:	10.1109/EMBC.2015.7318460
Popis:	In this article, we present a novel scheme for segmenting the image boundary (with the background) in optoacoustic small animal in vivo imaging systems. The method utilizes a multiscale edge detection algorithm to generate a binary edge map. A scale dependent morphological operation is employed to clean spurious edges. Thereafter, an ellipse is fitted to the edge map through constrained parametric transformations and iterative goodness of fit calculations. The method delimits the tissue edges through the curve fitting model, which has shown high levels of accuracy. Thus, this method enables segmentation of optoacoutic images with minimal human intervention, by eliminating need of scale selection for multiscale processing and seed point determination for contour mapping. Comment: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE (Accepted version)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1506.03124 Zobrazit plný text záznamu View this record from Arxiv