A Novel Method for Splitting Clumps of Convex Objects Incorporating Image Intensity and Using Rectangular Window-Based Concavity Point-Pair Search
Research output: Contribution to journal › Article › Scientific › peer-review
|Number of pages||11|
|Publication status||Published - 2013|
|Publication type||A1 Journal article-refereed|
A novel nonparametric concavity point analysis-based method for splitting clumps of convex objects in binary images is presented. The method is based on finding concavity point-pairs by using a variable-size rectangular window. The concavity point-pairs can be either connected with a straight split line or with a line that follows a path of minimum or maximum intensity on an accompanying grayscale image. Using straight lines can result in non-smooth contours. Therefore, post-processing steps that remove acute angles between split lines are proposed. Results obtained with images that have clumps of biological cells show that the method gives accurate results.