Knn Algorithm For Foodstuff Classification Using Hsv Color Space And Feature Extraction

Indonesian nourishment is one of the wealthiest culinary conventions in the world, characterized by its solid taste. This sort of nourishment requires extra fixings in certain sorts of cooking. In any case, most of the foodstuff photographs were disseminated on social media as they contained few nourishment fixings that are unpredictable and troublesome to distinguish. In truth, several clients who need to discover approximately the fixing of nourishment in look engines still utilize inquiries within the shape of content. This thinks, proposes the KNN algorithm combined with HSV color space and includes extraction, such as histogram-based surface features, lacunarity, and GLCM to bunch the nourishment within the form of pictures. In testing utilizing the (k) esteem on KNN, the most excellent highlight comes about are gotten that deliver a tall level of precision, review, and exactness of 100% at values K=1 and K=3 comes about from the combination of Lacunarity highlights, histogram-based surface highlights with color space HSV, and from the esteem of K=1 and K=3 F1-Score execution esteem.