title: A region analysis approach for segmenting neural-cell images.
abstract: In this paper we present new algorithms based on region analysis of grey and distance differences of images that successfully circumvent these problems. Two key parameters of this analysis, window width and logical threshold, are automatically extracted for use in logical thresholding, and spurious regions are detected and removed through use of a hierarchical window filter. The efficacy of the developed algorithms is demonstrated here through an analysis of cultured brain neurons from newborn mice.
authors.affiliation: Bioinformatics Applications Research Centre, James Cook University, Townsville, QLD 4811, Australia. donggang.yu@jcu.edu.au
authors.forename: Donggang
authors.initials: D
authors.lastname: Yu
authors.forename: Tuan D
authors.initials: TD
authors.lastname: Pham
authors.forename: Denis I
authors.initials: DI
authors.lastname: Crane
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D002478:Cells, Cultured; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009474:Neurons / Q000166:cytology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D012815:Signal Processing, Computer-Assisted