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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2016.8
- 수록면
- 32 - 37 (6page)
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초록· 키워드
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This paper proposes two measurement methods for injured rate of fish surface using color image segmentation method based on K-means clustering algorithm and Otsu’s threshold algorithm. To do this task, the following steps are done. Firstly, an RGB color image of the fish is obtained by the CCD color camera and then converted from RGB to HSI. Secondly, the S channel is extracted from HSI color space. Thirdly, by applying the K-means clustering algorithm to the HSI color space and applying the Otsu’s threshold algorithm to the S channel of HSI color space, the binary images are obtained. Fourthly, morphological processes such as dilation and erosion, etc. are applied to the binary image. Fifthly, to count the number of pixels, the connected-component labeling is adopted and the defined injured rate is gotten by calculating the pixels on the labeled images. Finally, to compare the performances of the proposed two measurement methods based on the K-means clustering algorithm and the Otsu’s threshold algorithm, the edge detection of the final binary image after morphological processing is done and matched with the gray image of the original RGB image obtained by CCD camera. The results show that the detected edge of injured part by the K-means clustering algorithm is more close to real injured edge than that by the Otsu’ threshold algorithm.
목차
Abstract
1. Introduction
2. Image processing system
3. Experimental results
5. Conclusions
References
참고문헌 (12)
참고문헌 신청
[학술지(정기간행물)] - C. J. Du / 2003 / Recent Developments in The Applications of Image Processing Techniques for Food Quality Evaluation / Trends in Food Science &Technology 15 (5) : 230 ~ 249
[학술지(정기간행물)] - Q. Z. Li / 2002 / Computer Vision Based System for Apple Surface Defect Detection / Computers and Electronics in Agriculture 36 (2) : 215 ~ 223
[학술지(정기간행물)] - T. McDonald / 1990 / Separating Connected Muscle Tissues in Image of Beef Carcass Ribeyes / Transactions of the ASAE 33 (6) : 2059 ~ 2065
[학술지(정기간행물)] - F. Storbeck / 2001 / Fish Species Recognition Using Computer Vision and a Neural Network / Fisheries Research 51 (1) : 11 ~ 15
[학술지(정기간행물)] - H. F. Ng / 2006 / Automatic Thresholding for Defect Detection / Pattern Recognition Letters 27 (14) : 1644 ~ 1649
[학술지(정기간행물)] - Q. Z. Li / 2002 / Computer Vision Based System for Apple Surface Defect Detection / Computers and Electronics in Agriculture 36 (2) : 215 ~ 223
[학술지(정기간행물)] - T. McDonald / 1990 / Separating Connected Muscle Tissues in Image of Beef Carcass Ribeyes / Transactions of the ASAE 33 (6) : 2059 ~ 2065
[학술지(정기간행물)] - F. Storbeck / 2001 / Fish Species Recognition Using Computer Vision and a Neural Network / Fisheries Research 51 (1) : 11 ~ 15
[학술지(정기간행물)] - H. F. Ng / 2006 / Automatic Thresholding for Defect Detection / Pattern Recognition Letters 27 (14) : 1644 ~ 1649
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UCI(KEPA) : I410-ECN-0101-2017-550-000976676