This paper presents a Fluency Image Coding System of beef rib-eye images for Beef Marbling Evaluation. This is the second in a series of cooperative researches with the Japan Livestock Technology ...Association under an initiative to construct an Automated Online Beef Marbling Grading Support System by image analysis techniques. Our first cooperative research was on a Beef Marbling Grading Method, and was published in this journal in Pattern Recognition Lett. 21 (12) (2000) 1037–1050. This second cooperative research focuses on a binary image coding system that supports remote observation of beef marbling structure from a database of coded beef rib-eye images by users including meat graders, livestock producers, and researchers. Image encoding is by a novel automatic contour compression method based on function approximation via interpolation using the Fluency Compactly Supported Sampling Functions of degree 2. Image decoding, based on interpolation of the encoded data by the similar functions, enables the web-browser based decoder to reconstruct the original fat contours smoothly even on Affine-transformed enlargement. Experimental results showing, respectively, size and image quality comparisons with other formats that support binary images and several enlargement schemes are included for evaluation.
Feature extraction algorithm for beef marbling Yoshikawa, F.; Toraichi, K.; Wada, N. ...
1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM 1999). Conference Proceedings (Cat. No.99CH36368),
1999
Conference Proceeding
Proposes a feature extraction algorithm for automatically grading beef marbling. Considering the practical usage of a beef marbling grading support system, the feature extraction algorithm for beef ...marbling that can precisely identify the distribution of fat particles and the fat contents must be designed to be simple and robust for actual use. From the results of our experiments, the usefulness and appropriateness of using run length histogram quantized data as the feature quantities for the grading of beef marbling has been confirmed.
A previously unknown
s-triazine species present in commercially available Irgarol-1051, a booster biocide additive in copper-based antifouling paints for the replacement of organotin-based ...antifoulants, has been identified in the coastal aquatic environment. After careful isolation, purification and characterization by high resolution MS-MS and
1H NMR, the molecular structure of that unknown species is found to be
N,N′-di-
tert-butyl-6-methylthiol-
s-triazine-2,4-diamine (designated as M3). Levels of Irgarol-1051, its major degradation product (M1) and the newly identified M3 in the coastal waters of Hong Kong, one of the world's busiest ports located in the southern coast of China, were monitored by SPME–GC-MS and SPME–GC-FID. Water samples from five locations within Hong Kong waters were analysed and the levels of Irgarol-1051, M1 and M3 were found to be 0.1–1.6 μg l
−1, 36.8–259.0 μg l
−1 and 0.03–0.39 μg l
−1, respectively. Our results indicate that M3 is relatively stable against photo- and bio-degradation and may pose considerable risk to primary producer communities in the coastal marine environment.
An
s-triazine species resists degradation and may be a chemical risk for marine coastal communities.
