Abstract / truncated to 115 words (read the full abstract)

In biological research images are extensively used to monitor growth, dynamics and changes in biological specimen, such as cells or plants. Many of these images are used solely for observation or are manually annotated by an expert. In this dissertation we discuss several methods to automate the annotating and analysis of bio-images. Two large clusters of methods have been investigated and developed. A first set of methods focuses on the automatic delineation of relevant objects in bio-images, such as individual cells in microscopic images. Since these methods should be useful for many different applications, e.g. to detect and delineate different objects (cells, plants, leafs, ...) in different types of images (different types of microscopes, regular ... toggle 7 keywords

image analysis computer vision segmentation tracking bio-imaging shape description ICR


De Vylder, Jonas
Ghent University
Publication Year
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Oct. 14, 2014

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