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A System Of Multi-Pointer Meter Indication Recognition And Information Management Based On Image Processing

Posted on:2007-11-22Degree:MasterType:Thesis
Country:ChinaCandidate:J R XueFull Text:PDF
GTID:2178360185459812Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
The system of multi-pointer meter indication recognition and information management is to recognize and read the pointer. Simultaneously, the obtained data will send to database management. It is the essential method of running Water Company to manage the consumers'water fee.It is spreaded from the principle and characteristic of meter, combining with the image essential processing methods, pick-up red area by using color character of meter's pointer. Using mendable Hough Transform based on the contour-track; detect the red indicator center position. According to the measuring appliance geometry characteristic and the relative position between reading-pointers and the calibration red pointers examine the effective pointers'central position. Then, by using the center position, the sub-images are divided. the mendable Canny operator based on the linear interpolation is used to pick up the edge of the pointer, the pointers'instructive direction is gotten via the circumference chord length detection method proposed by the article, then according to the central angle of pointer relative to the benchmark and conjunctive relation, the right reading is received The database information management system realizes the consumers'water fee management. The system divides three modules: one, charge management includes fee charge and inquiry, query no paid. Two, use-water management includes the user records management and the inquiry, table machine communication, manual-input function and statistical water fee. Three, printing management, according to customer need, print water fee receipt and water fee report form.
Keywords/Search Tags:indication recognition, PowerBuilder, Canny arithmetic operators, Hough Transform, circle-bowstring gray detect, SQL Server
PDF Full Text Request
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