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The objective of the current work is to develop an automatic tool to identify microbiological data types using computer vision and pattern recognition. Current systems rely on the subjective reading of profiles by a human expert. This process is time-consuming and prone to errors. Bacteriophage (phage) typing & Fluorescent imaging methods are used to extract representative feature profiles and...
Partitioning polygonal object into meaningful parts is one of the key steps to recognize this kind of object. Psychologist thinks that when people recognize object, they first decompose object recursively into several parts to recognize, and then combine the parts as a whole to know what the object is. So how to partition object is an important research point in Pattern Recognition and Computer Graphics...
In many automated visual surveillance applications, humans are important targets. As humans often move together, occlusions between them occur frequently, and it brings difficulty into image analysis. In this paper, two novel techniques are proposed to divide an image blob where two people are connected due to partial occlusion between them. The first technique uses a simple human size model to distinguish...
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