Abstract: In this study the identification of tomato diameter based on quality and size in image processing are very useful for the analysis it can be successfully done by measuring the diameter. The use of image processing for identifying the quality and size can be applied not only to tomatoes but also to other fruits such as oranges, apples, melons, etc. and also vegetables with more accuracy. Thus, this will enable the technology to be applied in many products in this case we proposed an away in to measuring the diameter of tomatoes, measuring diameter to the original image of tomatoes and the second one with the grayscale with five methods, Sobel, Perwitt, Roberts, Log and Canny methods to detect the edge of image with these methods, we get more accuracy of measuring the diameters. Farther than we use the value of threshold of each image to get clear image without noise. And the results can affect not only the use or management of the specific lot of products but also the general procedures in order to obtain better thresholds for the stages of the processing to get a good image. Four steps we applied in the program, i.e., pre-processing, segmentation, analysis and presentation of significant results (on the same device) and appling it to Sobel, Perwitt, Roberts, Log and Canny methods to obtain a good accuracy in results. Its also it is important to optimize the processing to get the exact diameter.
Salman Abd Kadhum, Tameem Hameed Obaida and Hasan Najim Zugair, 2019. Image Processing Techniques for Measuring Diameter Tomato Vegetable Using MATLAB Applications. Asian Journal of Information Technology, 18: 28-36.