Identification and Classification of Mango Fruits Using Image Processing

Image processing technology has been widely used in the agricultural field. Most of it applied to the robot that can be used for picking fruit and for inspection vehicle. Identification and classification is a major challenge for the computer vision to achieve near human levels of recognition. The fruits and vegetable classification is useful in the supermarkets and can also be utilized in computer vision for the automatic sorting of fruits from a set, consisting of different kind of fruits. The objective of this work is to develop an automated tool, which can capable to identify and classify mango fruits based on shape, size and colour features by digital image analysis. Initially, pre-processing techniques will be adopted to obtain the binary image using the texture analysis and morphological operations on digital images of different mango fruits. Later, the processed images will be further classified by suitable classification method. MATLAB have been used as the programming tool for identification and classification of fruits using image processing toolbox. Proposed method can be used to detect the external defects, stems, size and shape of mangos, and to classify the mango in high speed and precision.