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

Background Quality of pre-processed food grains is a critical aspect and a major decider of
market acceptability, storage stability, processing quality, and overall consumer acceptance …

The computer vision strategies used to recognize a fruit rely on four basic features which
characterize the object: intensity, color, shape and texture. This paper proposes an efficient …

The growing demand for flaxseed as a source of healthy edible oil mandates the need for
adopting novel strategies for preserving its quantity and quality. Mechanical damage during …

Over the last decades, parallel to technological development, there has been a great
increase in the use of visual inspection systems. These systems have been widely …

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 …

This manuscript presents a comprehensive survey on recent computer vision based food
grain classification techniques. It includes state-of-the-art approaches intended for different …

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 …

With the growing global population, the need for food is expected to grow tremendously in
the next few decades. One of the key tools to address such growing food demand is …

Healthy wheat kernels and wheat kernels damaged by the feeding of the insects: rice weevil
(Sitophilus oryzae), lesser grain borer (Rhyzopertha dominica), rusty grain beetle …