Image segmentation using Gabor filter and K-means clustering method
Agyztia Premana, Akhmad Pandhu Wijaya, Moch Arief Soeleman · 2017
Segmentation in digital images is a process to separate an object from a background so that the object can be processed for other purposes. Often also used in supporting technology related to the image to find the desired result point and solve the problem of image segmentation. Segmentation is an important step in processing object recognition in image images, so some areas like health, chemical industry, and some other fields desperately need this technique. The purpose of this research is to analyze the result of image segmentation using Gabor Filter and K-means Clustering method which is used to assist the initial process of image segmentation. Several studies have been produced and developed in relation to this field and produce quality output. This is a challenge for researchers to continue the research history of advanced image processing to improve the quality of research results obtained and increasingly shows the seriousness of interest of researchers in this field including the field of image processing. In the image segmentation research, the segmentation used the K-means Clustering method, while the feature extraction method uses Gabor filter.