Image Processing Algorithm Research And Application Oriented Steel Plates Counting System

To relevant companies such as steel logistics industry, construction industry, thesteel industry and other operations, steel plate number of accurate statistics is animportant part at the steel plate out of storage management. However, domesticenterprises are still widely in use artificial way to check the number of steel plate, theway of counting accuracy is not high and the efficiency of the way is lower, at thesame time, it will be occur that individual staff maliciously counts the number of steelplate. It seriously affected the development of enterprises.In response to these problems, this paper designs and implements a steel plateautomatic measurement system that on image processing. The system utilization ofcomputer technology, embedded system technology, image processing technology, ithas characteristics of high accuracy, fast calculation and wide application. The systemcan effectively replace the existing measurement methods of steel plate, at storagemanagement scene the system can accurate the number of steel plate in real-time, italso effectively reducing the enterprise human, material aspects of resourceconsumption, help enterprises to break through the bottleneck.Based on the practical application of steel logistics industry needs, this paperdesigns and implements a steel plate automatic metering system hardware andcounting software. In the hardware configuration, it takes Cortex A8as its coreprocessor, complemented by the power supply circuit, camera circuit, reset circuit,human-computer interaction circuit and so on. It can take the digital image of steelplate in the storehouse site and do other count operations. In the software structure,based on measurement of the actual plate application needs, it tailoring customizedWIN CE6.0embedded systems and has wrote steel plate automatic meteringapplications software.For the characteristics of digital image plate, this paper presents a series ofimage processing method that suitable for steel plate automatic metering, which hasbeen implemented in the embedded systems. Then it detailed the four stages in the measurement algorithm for image, which includes acquisition, pretreatment, split,count. It includes that in pre-processing stage, how to use combined weighted averageof the component method approach on the graying of color image, eliminating thesheet object identification error that due to the difference of the brightness of theenvironment, at the same time significant savings in waste processor resources; howto use Otsu threshold segmentation method to binary the grayscale image, though this,it can valid binary the image which histogram is “bimodal a valley”; how to useimproved median smoothing and filtering method that related to split the plates goalsto eliminate some of the interference region and interference points, for subsequentidentification and counting sheet, it provides a clear target area, at same time itimproves the efficiency of the comparison value; At the last, it use the method thatregional connectivity pixels notation base on equivalence relation to complete thework of identification and counting sheet area, effectively overcome the problemsthat the contact between two plates is so small to difficult to identify. That systemalgorithm can be extended to connected domain and white target image segmentationmarkers work.Experimental results show that the system can quickly distinguish and meter aplate section objects which has a clearer image, the accuracy can meet the needs ofenterprise applications when the thickness of the steel plate is equal and more than1.2mm.