Abstract
Wound healing assays are important for molecular biologists to understand the
 mechanisms of cell migration. For the analysis of wound healing assays, accurate
 segmentation of the wound front is a necessity. Manual annotation of the wound front is
 inconvenient since it is time-consuming and annotator-dependent. Thus automated, fast,
 and robust solutions are required. There are several image processing techniques
 proposed to fulfill this need. However, requirement for specification of optimal
 parameters, the need for human intervention, and the lack of high accuracy emerge as
 the downfalls for most of them. In this study we have proposed a novel method to
 overcome these difficulties.
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