KLASIFIKASI GAMBAR MENGGUNAKAN METODE K-NEAREST NEIGHBOR

Abstract

Classification is an important process to recognize and distinguish one thing from another, this can be humans, animals, or plants. This identification is done by recognizing the characteristics that something has. Indonesia has a variety of citrus varieties. These many varieties make it difficult to distinguish one orange variety from another. One way to classify citrus fruits can be done using the k-nearest neighbor method based on images. Image processing focuses on efforts to transform an image or image into another image by using certain techniques. Image processing stage is the first, namely image acquisition. Image acquisition is the initial stage for obtaining digital images. Preprocessing aims to improve image quality. Important things that are done in this process include size transformation, change to gray level, quality improvement (histogram equalization). After the preprocessing process, it is continued with the feature extraction process. Then proceed with the classification process using the k-nearest neighbor method.