• Mousami V. Munot

Classification of chromosomes in its classes is called as karyotyping. In the development of automated karyotyping schemes, the extraction and computation of chromosome image features as well as the selection and optimization of feature classifiers are two most important challenges. An optimal and small feature set is one of the important factors determining the performance and robustness of an automated classification system. Hence, a major research effort has gone into defining and searching for optimal features extracted from chromosome images. It is therefore necessary to devise an algorithm to derive the correct geometrical and the morphological features in cases of highly curved and bend chromosomes. This paper initially describes the traditional features used in the karyotyping of the chromosomes and further details effective image processing algorithms to extract the features of the curved and bend chromosomes. Various approaches and their experimental results are discussed. Profile density graphs of all 46 chromosomes, feature vector and the scatter plots of the features for a sample image in the database are also presented in this manuscript.

Chromosomes, karyotyping, classification, feature extraction

"Image Processing Algorithm for Identification of Centromere and Extraction of Features For Automated Karyotyping", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 2, page no.1002-1009, February-2018, Available :http://www.jetir.org/papers/JETIR1802178.pdf

"Image Processing Algorithm for Identification of Centromere and Extraction of Features For Automated Karyotyping", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 2, page no. pp1002-1009, February-2018, Available at : http://www.jetir.org/papers/JETIR1802178.pdf