Title :
Probabilistic edge detection in 3D optical microscopy images of tissue samples
Author :
Nandy, Kaustav ; Gudla, Prabhkar R. ; Chellappa, Rama ; Lockett, Stephen J.
Author_Institution :
Opt. Microscopy & Anal. Lab., Leidos Biomed. Res., Inc., Frederick, MD, USA
Abstract :
Inspired by a state of the art 2D algorithm for edge detection in natural images, in this work we report the development of an accurate 3D probabilistic edge detector for fluorescence optical microscopy images of tissue samples. The method utilizes multi-orientation and multi-scale brightness, textural and spectral properties of the data to compute a probabilistic edge map. To demonstrate the strengths and accuracy of the proposed algorithm, comparisons of the edge maps produced by our algorithm and several other popular edge detectors on simulated and real 3D microscopic volumes are provided.
Keywords :
biological tissues; biomedical optical imaging; edge detection; fluorescence spectroscopy; medical image processing; optical microscopy; probability; 2D algorithm; 3D microscopic volume; 3D optical microscopy images; 3D probabilistic edge detector development; data spectral properties; data textural properties; fluorescence optical microscopy images; probabilistic edge map; tissue sample; Image edge detection; Microscopy; Optical imaging; Optical microscopy; Probabilistic logic; Signal to noise ratio; Three-dimensional displays; 3D image analysis; Probabilistic edge detection; acinus; fluorescence microscopy; tissue sample;
Conference_Titel :
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Conference_Location :
New York, NY
DOI :
10.1109/ISBI.2015.7164152
