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Research Of The Snowflake Beef Eye Muscle Image Processing And Detection

Posted on:2015-10-29Degree:MasterType:Thesis
Country:ChinaCandidate:P P MaFull Text:PDF
GTID:2283330482970768Subject:Agricultural Engineering
Abstract/Summary:PDF Full Text Request
Snowflake beef is the local name for the marbled beef, with rich deposited fatty, high nutritional value, taste etc..Snowflake beef quality is different,and need to classify. Snowflake beef quality grading is divided into artificial rating and machine rating.Snowflake beef artificial grading is very subjective, the lack of fair, objective evaluation and grading results are difficult to convince the market buyers. The machine rating for quality grading based on machine vision, image processing, pattern recognition, is more scientific and objective, efficient than artificial grading.This paper studies the snowflake beef ribeye image processing and detecting algorithm and introduces the snowflake beef quality grading system based on machine vision algorithm application platform.Based on the snowflake beef ribeye image information and image characteristic, this paper proposes a pretreatment method of plane image, image segmentation, image segmentation evaluation and image information detection method,and then test the results and analysis.Image processing method is proposed in this paper combines artificial classification mode of thinking and artificial snow beef quality grading index and method, on the basis of snowflake beef ribeye image features, the snowflake beef ribeye image preprocessing, ribeye muscle and fat image segmentation, ribeye ROI segmentation method to realize the ribeye image information extraction.Ribeye image information detection is based on the information of color and marbling,which includes the muscle color, fat color, marbling, roughness and fine density indexes,and puts forward the corresponding extraction methods.Research extracts ribeye muscle and fat color by method of OTSU threshold.Research conducts the ribeye ROI segmentation based on methods of connected region, morphology, concave point detection and realizes the extraction of marbling, roughness, thin density index.Through the test results and analysis, and related certification of the ribeye image feature index,which are that Marbling content correlation value is 0.879, roughness and fine density is only 0.434 and -0.018,this paper verifies the conclusion that snowflake beef quality grading of the current enterprise were mainly based on marbling and supplemented by fat and muscle color and marbling distribution characteristics.
Keywords/Search Tags:snowflake beef, classification system, image processing, image, segmentation, image detection
PDF Full Text Request
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