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A New Similarity Measurer for Color-Texture and Its Clustering for Apple

Jun-Hyeok Lee, Ji-Hong Park, and Seon-Jong Kim
Dept. of IT Engineering, Pusan National University, Miryang, Kyeongnam, South Korea
Abstract—This paper proposed a new similarity index for applying to clustering by color-texture using the IOCLBP. We evaluated the relationships of IOCLBP component pairs and investigated a distribution of color-texture properties for apples. And then, we found some correlations between their properties. As selecting the uncorrelated properties and their centric feature vector of apples, the proposed similarity index was introduced as a distance measurer. In experiments of clustering with apple fruits, the results showed that the proposed index has a good performance and is used in color-texture measurer. 

Index Terms—color-texture, similarity measurer, apple proper-ties, clustering

Cite: Jun-Hyeok Lee, Ji-Hong Park, and Seon-Jong Kim, "A New Similarity Measurer for Color-Texture and Its Clustering for Apple," International Journal of Signal Processing Systems, Vol. 8, No. 3, pp. 59-63, September 2020. doi: 10.18178/ijsps.8.3.59-63

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