Image processing techniques have been applied increasingly for food quality evaluation in
recent years. This paper reviews recent advances in image processing techniques for food …

Background Food microstructure can be visualised by a wide range of microscopic
techniques, however these methods are usually destructive and require sample preparation …

During the last two decades, a number of methods have been developed to objectively
measure meat quality attributes. Hyperspectral imaging technique as one of these methods …

Learning techniques have been applied increasingly for food quality evaluation using
computer vision in recent years. This paper reviews recent advances in learning techniques …

This paper overviews the biophysical methods developed to gain access to meat structure
information. The meat industry needs reliable meat quality information throughout the …

This paper reviews the techniques available for image feature extraction and their
applications in the food industry up to now according to the four major kinds of image …

Texture is an important image feature and has been applied greatly in the food industry for
quality evaluation and inspection. Recent applications of texture-analysis techniques in the …

Computer vision systems (CVS) are applied to macro-and microscopic digital photographs
captured using digital cameras, ultrasound scanners, computer tomography, and wide-angle …

Computer vision has emerged as a useful alternative to manual expert grading of meat in
recent years. Manual grading by experts has a number of essential flaws that can be …

Applying computer vision in meat quality evaluation has been an active area of research in
recent years. Various studies have addressed issues from basic technique development to …