Difference: LeukocyteDetection (1 vs. 3)

Revision 3
01 Jun 2014 - Main.AndreaVaccari
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META TOPICPARENT name="VivaResearch"

Leukocyte Detection

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Project Info

Title Advanced Biomedical Image Processing for Detecting Leukocytes In Vivo from Video Microscopy
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Revision 2
29 May 2014 - Main.AndreaVaccari
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META TOPICPARENT name="VivaResearch"

Leukocyte Detection

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Leukocytes appear both as bright and dark circles as shown in figure 1. The brightness or lack of brightness of a cell is due to the depth of the cell within a vessel. In a sequence, a bright cell may become dark.
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Fig 1. Sample Frame of Bright and Dark Leukocytes
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Fig 1. Sample Frame of Bright and Dark Leukocytes.
 

A level set method has been used to successfully detect the bright leukocytes. For each gray level, the algorithm looks for circular connected components (CC). If a CC falls within a certain size and the Area/Perimeter^2 is approximately 4*Pi, the CC is labeled as a potential cell. A mapping between gray levels determines whether a CC is a new cell, or a previously discovered one. To remove false positives, N consecutive frames are processed, and if the cell is not present in some percentage of N frames, then the potential cell is discarded.
 
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