A thresholding method based on two-dimensional Renyi's entropy

Pork quality and marbling level assessment using a hyperspectral imaging system

Correlating colour to moisture content of large cooked beef joints by computer vision

This paper reviews developments since 2000 in the application of machine vision to food and agriculture. The subject involves applying radiation of various wavelengths to materials in order to find more about them: often this means looking not only at surfaces but also at internal structures. While visible light frequently provides enough useful information to make sound judgements, with the advent of dual energy X-ray (DEXA) detection, X-rays have been increasingly valuable. Perhaps the most exciting development is the 'spectral image cube' as an investigative tool. There have also been valuable developments in the use of three-dimensional methods, such as 'double Hough transforms' for the accurate delineation of crop rows, so that 'precision agriculture' can be realized, and the use of sets of visual calibration points so that robot vehicles can determine their exact locations and headings. Overall, the steady development of useful vision algorithms has been well matched by the capability of tod...

The application of machine vision to food and agriculture: a review

Color grading of beef fat by using computer vision and support vector machine

On a grading system for beef marbling

On a fluency image coding system for beef marbling evaluation

Extracting in-play scenes in sport videos is essential for quantitative analysis and effective video browsing of the sport activities. Game analysis of badminton as of the other racket sports requires detecting the start and end of each rally period in an automated manner. This paper describes an automatic serve scene detection method employing cubic higher-order local auto-correlation (CHLAC) and multiple regression analysis (MRA). CHLAC can extract features of postures and motions of multiple persons without segmenting and tracking each person by virtue of shift-invariance and additivity, and necessitate no prior knowledge. Then, the specific scenes, such as serve, are detected by linear regression (MRA) from the CHLAC features. To demonstrate the effectiveness of our method, the experiment was conducted on video sequences of five badminton matches captured by a single ceiling camera. The averaged precision and recall rates for the serve scene detection were 95.1% and 96.3%, respectively. Keywords—Badminton, CHLAC, MRA, Video-based motion detection

Automated Service Scene Detection for Badminton Game Analysis Using CHLAC and MRA

Automated service scene detection for Badminton game analysis Using CHLAC and MRA

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.

Fumito Yoshikawa

Papers

On a grading system for beef marbling

On a fluency image coding system for beef marbling evaluation

Automated Service Scene Detection for Badminton Game Analysis Using CHLAC and MRA

Automated service scene detection for Badminton game analysis Using CHLAC and MRA

Feature extraction algorithm for beef marbling