Segmentation of Mango Fruit Image Using Fuzzy C-Means

Mango contains about 20 vitamins and minerals such as iron, copper, potassium, phosphorus, zinc, calcium. The freshness of the ripe mango will taste sweet. level ripeness fruit can be seen from texture skin color. Ripe mangoes have a bright, fragrant color smooth texture. problem found in segmentation is that image influenced by several factors, noise environmental objects. In measuring maturity traditionally, it analysis based on peel process needed so classification or pattern recognition carried out better. segmented read feature extraction value an object has been separated background. procedure analyzed analyze process. this process, divided into parts according to desired acquisition. Clustering technique for segmenting images grouping data class partitioning datasets. This study uses Fuzzy C Means method produce optimal results determining clustering-based segmentation. final result C-based processing means available equal maximum number iterations (MaxIter) 31 iterations, error (x) = 0.00000001, computation testing time 2444.913636