Open AccessDevelopment Of Binary Similarity And Distance Measures (BSDM) Algorithm For The Bond Of High Development System Of Video
Author(s) -
Cut Lika Mestika Sandy,
Syahril Efendi,
Rahmat Widia Sembiring
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1361/1/012023
Subject(s) - jaccard index , computer science , algorithm , binary number , similarity (geometry) , computation , matching (statistics) , process (computing) , data mining , binary data , otsu's method , image (mathematics) , pattern recognition (psychology) , artificial intelligence , mathematics , image segmentation , statistics , arithmetic , operating system
This research makes new innovations in high measurement more effective in minimizing the time in measurement. But there has been no research for recognition of height measurement patterns using the Otsu algorithm and Binary Similarity and Distance Measures (BSDM) algorithms. These two algorithms are combined to optimize the working process of the system to be built. Based on the results of the algorithm’s complexity, BSDM has several binary similarities and distances that can be used in testing the system to be built. One of the binary similarities and distances used in testing this research is BSDM S INNERPRODUCT and BSDM S JACCARD . From testing the system using BSDM S INNERPRODUCT as effective as BSDM S JACCARD , between the two closer to the result of the actual height is testing BSDM S INNERPRODUCT . The test data used in this research is in the form of video image in real-time. To improve the quality of system work in future research, can add pattern matching algorithm for height measurement, The addition of the approach will certainly affect the speed of computation on pattern recognition.