Segmentation of longissimus dorsi in beef carcass based on Ohta and RGB color systems

被引:0
|
作者
Zhao, Jie-Wen [1 ]
Fang, Ming [1 ]
Liu, Mu-Hua [1 ]
Chen, Quan-Sheng [1 ]
Li, Peng-Fei [1 ]
机构
[1] School of Biological and Environmental Engineering, Jiangsu University, Zhenjiang 212013, China
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:189 / 192
相关论文
共 50 条
  • [31] RGB-D Based Object Segmentation in Severe Color Degraded Environment
    Wang, Chao
    Liu, Sheng
    Zhang, Jianhua
    Feng, Yuan
    Chen, Shengyong
    COMPUTER VISION, PT III, 2017, 773 : 465 - 476
  • [32] Effect of concentrate- vs. forage-based finishing diet on carcass traits, beef palatability, and color stability of longissimus muscle from Angus heifers.
    Garmyn, A. J.
    VanOverbeke, D. L.
    Mateescu, R. G.
    Hilton, G. G.
    JOURNAL OF DAIRY SCIENCE, 2010, 93 : 70 - 70
  • [33] Neural Network Based SOM for Multispectral Image Segmentation in RGB and HSV Color Space
    Ganesan
    Shaik, Khamar Basha
    Sathish, B. S.
    Kalist, V.
    2015 INTERNATIONAL CONFERENCED ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT-2015), 2015,
  • [34] Pothole Detection: An Efficient Vision Based Method Using RGB Color Space Image Segmentation
    Akagic, Amila
    Buza, Emir
    Omanovic, Samir
    2017 40TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2017, : 1104 - 1109
  • [35] Intensive pig production in confinement or outdoor systems: A meta-analytical study of the production performance in the growing and finishing phases and carcass and meat evaluation from the Longissimus dorsi
    Demori, Alice Bogoni
    Lovatto, Paulo Alberto
    Andretta, Ines
    Kipper, Marcos
    Lehnen, Cheila Roberta
    Remus, Aline
    CIENCIA RURAL, 2012, 42 (07): : 1294 - 1299
  • [36] Unsupervised color image segmentation: A case of RGB histogram based K-means clustering initialization
    Basar, Sadia
    Ali, Mushtaq
    Ochoa-Ruiz, Gilberto
    Zareei, Mahdi
    Waheed, Abdul
    Adnan, Awais
    PLOS ONE, 2020, 15 (10):
  • [37] A Region-based Color Image Segmentation Method Based on P Systems
    Peng, Hong
    Yang, Yufan
    Zhang, Jiarong
    Huang, Xiaoli
    Wang, Jun
    ROMANIAN JOURNAL OF INFORMATION SCIENCE AND TECHNOLOGY, 2014, 17 (01): : 63 - 75
  • [38] The use of computer-assisted image analysis in the evaluation of the effect of management systems on changes in the color, chemical composition and texture of m. longissimus dorsi in pigs
    Zapotoczny, Piotr
    Kozera, Wojciech
    Karpiesiuk, Krzysztof
    Pawlowski, Rodian
    MEAT SCIENCE, 2014, 97 (04) : 518 - 528
  • [39] Graph-based RGB-D Image Segmentation Using Color-directional-region Merging
    Digital Fujian Institute of Big Data for Agriculture and Forestry, College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
    不详
    ICASSP IEEE Int Conf Acoust Speech Signal Process Proc, 2019, (2417-2421):
  • [40] GRAPH-BASED RGB-D IMAGE SEGMENTATION USING COLOR-DIRECTIONAL-REGION MERGING
    Pan, Xiong
    Zhang, Zejun
    Liu, Yizhang
    Yang, Changcai
    Chen, Qiufeng
    Cheng, Li
    Lin, Jiaxiang
    Chen, Riqing
    2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 2417 - 2421