STUDI PERBANDINGAN PERBAIKAN KUALITAS CITRA GESTUR TANGAN MENGGUNAKAN METODE HISTOGRAM EQUALIZATION DENGAN ADAPTIVE HISTOGRAM EQUALIZATION

Abstract

Creating a safe environment in the school environment can be done by installing CCTV equipped with applications that can detect problems through hand gesture movement patterns. However, the process of recognizing hand gesture patterns is constrained by the retrieval of hand gesture capture image data from CCTV which is still not clear, not sharp, and blurry. The purpose of this study is to create a system that can improve image quality as a result of capturing hand gestures from CCTV. In conducting this research, the histogram equalization and adaptive histogram equalization methods will be used, and then compare the results of image quality improvement between the two methods used. The image data that will be used in this study is the image of a waving hand gesture. From the results of the experiments that have been carried out, it is found that the use of the adaptive histogram equalization method is better than the histogram equalization method which in terms of visual appearance histogram equalization shows darker results than the adaptive histogram equalization method. Meanwhile, the lowest MSE average value was obtained by the adaptive histogram equalization method, which was 102,368 for table 3 (image of bright lighting) and 120,162 for table 4 (image of dim lighting), and for the histogram equalization method, the MSE average value was 214,473 and 262,285.