Size Properties of Mangoes using Image Analysis

This experimental study aimed to develop an efficient algorithm for detecting and sorting mango. Using the acquired image, the features of the mango were extracted and used to identify the class of the mango. The extracted features of the mango are perimeter, area, roundness, and percent defect. The roundness and percent defect were used to identify whether the mango’s quality was export, local or reject. The area was used to determine the size of the mango. An optimal threshold was used in segmentation and boundary tracing was used to determine the perimeter. This study becomes significant and may contribute to the perspective of new knowledge on image clustering model.