Automation of Quality and Grading Control of Milling Products
The article discusses the construction of algorithms for automated processing of micro photos of milling products. Automated processing of micro photos of milling products is relevant in the study of the degree of its size and color. Micro photos of milling products contain information about the distribution of particles in size and color. Today, there are software products, offering image processing and relieving researchers from routine operations of manual data processing. But they have to be adapted for performing the processing of micro photos of milling products. In this paper, we propose to use Image Processing Toolbox MATLAB software package for processing image files taken with digital camera attached to microscope, and an RGB-diode lightening system allowing for different colors of light to set the optimal filming parameters. Processing algorithm consists of successive stages of conversion to gray scale, scaling, filtering, binarization, object recognition and statistical processing of the results of recognition. The result of the implemented data processing algorithms is the distribution function of the product particles in terms of size and color. For the inspection of the algorithm and its debugging experimental studies were carried out. Samples of semolina and bran were studied. For each sample micro photos were taken and image processing was carried out in accordance with the proposed algorithm. The studies have shown the effectiveness and feasibility of the proposed algorithm in the form of script for Image Processing Toolbox MATLAB software package.