선택한 단어 수는 입니다.
최소 단어 이상 선택하여야 합니다.
최소 단어 이상 선택하여야 합니다.
선택한 단어 수는 30입니다.
최대 10 단어까지만 선택 가능합니다.
최대 10 단어까지만 선택 가능합니다.
제안 방법
- In this paper, algorithms were developed to extract the boundary of the lean tissue and proposed an index tool to evaluate the marbling status using mobile hand held color image acquisition and processing unit The developed algorithm was applied for 30 beef cut samples and showed the successfill results for the beef cuts with simple and moderate patterns of the lean tissue and fat. And for the marbling state of lean tissue quality, entropy and maximum probability indices obtained from the cooccurrence matrix gave relatively better correlations with visually recognizable marbling states. And a prototype mobile beef quality measurement system, which can be implemented practically at the beef processing site was developed.
- One was the introduction of the interactive human intervention to guarantee the 100% successful boundary extraction. And the other was the improvement of the boundary extraction algorithm by tracing the curvature of contour.
- tured from red, green, and blue channel. By inspecting brightness range of pixels of the pre-specified rectangular subimage area such as xU [220, 320] yW [240, 340] in the red frame image of the beef-cut surface, threshold values for green and blue frame images were selected.
- Five beef samples with different marbling states which could be visually recognized easily were used to compare values of four texture indexes such as element difference moment, entropy, uniformity, and area ratio. Figure 11 showed the resulting scores of four different texture indexes for given samples.
- Four different texture indexes such as element difference moment, entropy, uniformity, and area ratio were used. Each index is described as following.
- via threshold scheme is not simple process. In order to solve the difficulties of the segmentation caused by the color variation of the lean tissue, brightness of the red channel image at the pre-specified area of beef carcass was inspected. The pre-specified area was roughly determined to include the lean tissue portion of the beef carcass.
- Based on this generated contour information, marbling state, and fat composition ratio are determined. In this paper, algorithms were developed to extract the boundary of the lean tissue and proposed an index tool to evaluate the marbling status using mobile hand held color image acquisition and processing unit The developed algorithm was applied for 30 beef cut samples and showed the successfill results for the beef cuts with simple and moderate patterns of the lean tissue and fat. And for the marbling state of lean tissue quality, entropy and maximum probability indices obtained from the cooccurrence matrix gave relatively better correlations with visually recognizable marbling states.
- The extracted boundary was superimposed on the raw color image to validate the results of the processing as shown in Figure 8. The developed algorithm was applied for 30 beef cut samples and showed the successful results for the beef cuts with simple and moderate patterns of the lean tissue and fat. Morphological dilation and erosion cooperated with some heuristic rules based on the geometric characteristics of the lean tissue could successfully remove the simple adhered or isolated regions of the image.
- processing site was presented. The developed system was composed of the hand held image acquisition unit and mobile processing unit mounted with touch-pad screen. Algorithms to extract the boundary of the lean tissue and a proper measurement tool to evaluate the marbling status have been developed using color image processing.
대상 데이터
- Thirty images of sample beefs were collected from the 13th rib at the "Garak (slaughter house), , agricultural fresh market in Seoul using developed mobile image acquisition and processing unit. The developed mobile unit was composed of the hand held image acquisition 니nit (Figure 1) and
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