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Article Type: Research Article
Abstract: Feature extraction is a crucial step in most cytometry studies. In this paper a systematic approach to feature extraction is presented. The feature sets that have been developed and used for quantitative cytology at the Laboratory for Biomedical Image Analysis of the GSF as well as at the Center for Image Analysis in Uppsala over the last 25 years are described and illustrated. The feature sets described are divided into morphometric, densitometric, textural and structural features. The latter group is used to describe the eu‐ and hetero‐chromatin in a way complementing the textural methods. The main goal of the paper …is to bring attention to the need of a common and well defined description of features used in cyto‐ and histometrical studies. The application of the sets of features is shown in an overview of projects from different fields. Finally some rules of thumb for the design of studies in this field are proposed. Colour figures can be viewed on http://www.esacp.org/acp/2003/25‐1/rodenacker.htm. Show more
Keywords: Cytometry, histometry, morphometry, photometry, densitometry, shape, texture, structure, biomedical image analysis, microscope image analysis, feature extraction, feature development
Citation: Analytical Cellular Pathology, vol. 25, no. 1, pp. 1-36, 2003
Article Type: Research Article
Abstract: The paper presents a technique to automatically detect the working area of peripheral blood smears stained with May‐Grünwuald Giemsa. The optimal area is defined as the well spread part of the smear. This zone starts when the erythrocytes stop overlapping (on the body film side) and finishes when the erythrocytes start losing their clear central zone (on the feather edge side). The approach yields a quick detection of this area in images scanned under low magnifying power (immersion objective ×25 or ×16). The algorithm consists of two stages. First, an image analysis procedure using mathematical morphology is applied for extracting …the erythrocytes, the centers of erythrocytes and the erythrocytes with center. Second, the number of connected components from the three kinds of particles is counted and the coefficient of spreading ρs and the coefficient of overlapping ρo are calculated. The data from fourteen smears illustrate how the technique is used and its performance. Colour figures can be viewed on http://www.esacp.org/acp/2003/25‐1/angulo.htm. Show more
Keywords: Automation, quality control, telepathology, image processing, mathematical morphology, erythrocytes, blood smear, blood spreading
Citation: Analytical Cellular Pathology, vol. 25, no. 1, pp. 37-49, 2003
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