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New Findings from University of Illinois in Pattern Analysis Provides New Insights

May 12, 2014



By a News Reporter-Staff News Editor at Robotics & Machine Learning -- Researchers detail new data in Pattern Analysis. According to news reporting out of Urbana, Illinois, by VerticalNews editors, research stated, "Blob or granular object recognition is an image processing task with a rich application background, ranging from cell/nuclei segmentation in biology to nanoparticle recognition in physics. In this study, we establish a new and comprehensive framework for granular object recognition."

Our news journalists obtained a quote from the research from the University of Illinois, "Local density clustering and connected component analysis constitute the first stage. To separate overlapping objects, we further propose a modified watershed approach called the gradient-barrier watershed, which better incorporates intensity gradient information into the geometrical watershed framework. We also revise the marker-finding procedure to incorporate a clustering step on all the markers initially found, potentially grouping multiple markers within the same object. The gradient-barrier watershed is then conducted based on those markers, and the intensity gradient in the image directly guides the water flow during the flooding process. We also propose an important scheme for edge detection and fore/background separation called the intensity moment approach."

According to the news editors, the research concluded: "Experimental results for a wide variety of objects in different disciplines including cell/nuclei images, biological colony images, and nanoparticle images - demonstrate the effectiveness of the proposed framework."

For more information on this research see: Automatic segmentation of granular objects in images: Combining local density clustering and gradient-barrier watershed. Pattern Recognition, 2014;47(6):2266-2279. Pattern Recognition can be contacted at: Elsevier Sci Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, Oxon, England. (Elsevier - www.elsevier.com; Pattern Recognition - www.elsevier.com/wps/product/cws_home/328)

Our news journalists report that additional information may be obtained by contacting H.G. Yang, University of Illinois, Dept. of Elect & Comp Engn, Urbana, IL 61801, United States.

Keywords for this news article include: Urbana, Illinois, United States, Pattern Analysis, North and Central America

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Robotics & Machine Learning


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