Flour, Bran Star Detection Techniques Based On Image Processing Technology And Realization

The number of bran specks contained in the flour is an import indicator to evaluate the rank of flour, which not only reflects the pros and cons of wheat varieties, but also reflects the level of the flour production process. Currently, operators in most of the scientific research institutes, manufacturers and other testing organizations related with flour products, still use the way of visually identified with the help of a magnifying glass to complete the inspection work, which was the traditional manual testing method often do not meet accuracy requirement and time-consuming effort, so the test results is hardly convincing.In response to these problems, this paper presents to design and develop an intelligent measure system of bran specks in flour. This system can automatically complete flour loading, transportation, photograph and other works, while the Host Computer Software can complete real-time image processing and fast detection of bran, effectively overcomes the shortcomings in traditional manual testing method.In the hardware design of bran specks measure system, the technology of illuminance detect and control is added to the instrument, and thus avoiding the deficiency of lack of real-time monitoring for testing environment in other instruments. On this basis, in order to satisfy the design requirements of accuration for illuminace detection, research to apply improved BP neural network to achieve data fitting between A/D sampling data and the standard values of illuminace. The simulation result shows that the improved BP algorithm can effectively avoid the local minimization problem, and improve the network convergence speed.This paper also implements a comprehensive comparative study with a variety of digital image processing technology, such as, the image gray-based, binarization, smoothing filtering, texture analysis, edge detection and so on. After the reference to the relevant pattern recognition theory, a new bran specks rapid identification and normalization algorithm is presented. Then, designs an intelligent software based on these basic principles of image processing algorithms. This software can quickly detect number, area, area percentage and other parameters of bran specks. Finally, the paper also proposed some shortcomings in the system which to be improved and perfected in the future.