© Published under licence by IOP Publishing Ltd.Karyotype is a complete image of chromosomes arranged in accordance with the length, number, shape, and band of an individual cell’s chromosomes. Generally, the karyotype is performed by taking the chromosome image at metaphase, cutting out, and identifying each chromosome image based on G-banded manually. This process consumes a lot of time, energy, and inconsistency result. Therefore, it is necessary to develop an application which helps the karyotyping process automatically or at least semi-automatically. In this experiment, we proposed a semi-automatic karyotyping process by utilizing image processing techniques of normal human karyotype. The development of semiautomatic application prototype includes three steps, they were preprocessed chromosome image, featured extraction of chromosome image, and utilized tools to facilitate the users. The methods used in preprocessed chromosome image are gamma enhancement, bilateral filtering, adaptive thresholding, and flood-fill algorithms. The featured extraction of chromosome image is used to extract the morphological features, which will measure the chromosome based on length and pair of chromosomes using skeletonize method. Functionality, tools join and cut for users to modify the results of segmentation chromosome image has been successfully created. Based on the analytical result, it can be concluded that the proposed method can provide a relatively good representation of the chromosomes to assist the further chromosome analysis process.

This research was funded by the Indonesian Ministry of Research, Technology and Higher Education in 2019, through the Community Service Program by the Institute of Research and Community Service (LPPM) Bandung Institute of Technology (ITB), and it was developed in two faculties namely the School of Electrical and Informatics Engineering (STEI) and the School of Life Sciences (SITH).

https://doi.org/10.1088/1757-899X/830/3/032053