TY  - JOUR
T1  - Image Processing Techniques for Measuring Diameter Tomato Vegetable Using
MATLAB Applications
AU - Abd Kadhum, Salman AU - Hameed Obaida, Tameem AU - Najim Zugair, Hasan 
JO  - Asian Journal of Information Technology
VL  - 18
IS  - 1
SP  - 28
EP  - 36
PY  - 2019
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2019.28.36
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2019.28.36
KW  - Size of tomato
KW  -diameter
KW  -edge detection
KW  -image processing
KW  -pre-processing
KW  -segmentation
AB  - 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.
ER  -