| Title | Automatic segmentation of chromatographic images for region of interest delineation |
| Publication Type | Conference Paper |
| Year of Publication | 2011 |
| Authors | Mendonça, AM, Sousa, AV, Sá-Miranda, MC, Campilho, AC |
| Conference Name | Progress in Biomedical Optics and Imaging - Proceedings of SPIEProgr. Biomed. Opt. Imaging Proc. SPIE |
| Date Published | 2011/// |
| Conference Location | Lake Buena Vista, FL |
| ISBN Number | 16057422 (ISSN); 9780819485045 (ISBN) |
| Keywords | Automatic analysis, Automatic segmentations, Chromatographic images, Chromatographic plates, Chromatography, Data sets, Distance feature, Fabry disease, Image pixels, Image segmentation, Imaging systems, Medical imaging, Morphological operator, Pixels, Rectangular area, Region of interest, Region of interest delineation, Screening tool, Second phase, Segmentation methods, Segmentation results, Unsupervised learning, Unsupervised learning method |
| Abstract | This paper describes a segmentation method for automating the region of interest (ROI) delineation in chromatographic images, thus allowing the definition of the image area that contains the fundamental information for further processing while excluding the frame of the chromatographic plate that does not contain relevant data for disease identification. This is the first component of a screening tool for Fabry disease, which will be based on the automatic analysis of the chromatographic patterns extracted from the image ROI. Image segmentation is performed in two phases, where each individual pixel is finally considered as frame or ROI. In the first phase, an unsupervised learning method is used for classifying image pixels into three classes: frame, ROI or unknown. In the second phase, distance features are used for deciding which class the unknown pixels belong to. The segmentation result is post-processed using a sequence of morphological operators in order to obtain the final ROI rectangular area. The proposed methodology was successfully evaluated in a dataset of 41 chromatographic images. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE). |
| URL | http://www.scopus.com/inward/record.url?eid=2-s2.0-79958001297&partnerID=40&md5=e679e7314308e03c9042ba3909310a7c |
