Fuzzy c-means clustering algorithm for quality inspection of fruits based on image sensors data

Use of FCM for inspection of fruits is proposed in this paper. In this method, an image of fruits is firstly taken in RGB color model. The output of imaging sensors is preprocessed in order to get proper image for evaluation purpose. An algorithm based on fuzzy c-means theory was developed for quality inspection of fruits. Discrete Wavelet Transform (DWT) is applied in order to extract the features. The DWT features are used as input data to FCM algorithm to get clusters and segment the image. An evaluation method based on image processing techniques was developed for the purpose of evaluation quality of fruits. The experimental result of proposed method shows that fuzzy evaluation is a viable way for quality inspection of fruits.