![]() ![]() Based on trials that have been done, the accuracy is quite good, the highest accuracy value occurs in shellfish blood cockles with RBF kernels. ![]() The input image is carried out preprocessing and segmenting to separate objects from the background and the image of the separated object is transformed into a grayscale image for the feature extraction process using the Local Binary Pattern method. The purpose of this study is to develop a texture feature extraction system for the classification of shell images. In the image of the shells, texture characteristics are needed to distinguish one type of shell from another. Classification by hand can cause accuracy problems. Classification is done by looking at objects based on inherent characteristics usually referred to as features / characteristics. ![]() Texture feature extraction, LBP, classification, shell image AbstractĬlassification procedure that is usually done manually by way of separation based on the texture of the shell shell. ![]()
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