LOCAL BINARY PATTERN METHOD AND FEATURE SHAPE EXTRACTION FOR DETECTING BUTTERFLY IMAGE
Dhian Satria Yudha Kartika · International Journal of Geomate · 2018
Research in the field of information retrieval especially on image processing is proliferating.Various methods are developed to be able to detect images optimally and produce better accuracy. Theprocess of image detection can use the dataset that exists around us. In this research, we use butterfliesdataset, since the butterfly has unique colors, patterns, and diverse shapes. Therefore, we use local binarypattern method for texture feature extraction and region props for shape feature extraction. The results ofeach texture feature extraction and shape feature extraction will be a merging process. The results of themerging process get an accuracy of 66%. In addition, the system testing process with confusion matrix willproduce 67.1% precision value, 66% recall and f-measure of 66.5%. The merging process of both methodsshows the interplay of texture and shape extraction.