Counting the Amount of Spermatozoa Active Perframe Video Using Morphology and Local Adaptive Threshold
Keywords:
Local Adaptive Threshold, morphology, motility, otsu, segmentation, spermAbstract
Sperm analysis is a preliminary examination performed on male infertility cases, one of which is determining normal and abnormal motility, performed by the expert. This sperm analysis can also be done automatically with computer-assisted, that is by taking per-frame sperm video then done segmentation process. In the process of segmentation there are some constraints such as video data taken has different intensity, so it takes some segmentation method. This study compares the process of Morphology and Local Adaptive Threshold (LAT) process, with the same preprosessing process using Otsu segmentation, so that from some segmented sperm video frame data will be known which segmentation should be used. From the result of the research, it is found that the intensity of light in the sperm frame is analyzed evenly, morphology can be used and if the sperm image in uneven intensity analysis will be more effective using Local Adaptive Threshold (LAT), thus to perform better feature extraction, but from some frames of sperm that were randomly tested obtained more accuracy using morphology process that is 82% compared to using local adaptive threshold process that is only 52%.
Downloads
Published
Issue
Section
License
Authors who publish with this proceedings agree to the following terms:
Authors retain copyright and grant the Nusantara Science and Technology Proceedings right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this proceeding.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the proceedings published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this proceeding.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See the Effect of Open Access).
