Highlights•Recent advances of intelligent fish feeding based on machine vision are
summarised.•The key technologies involved in intelligent fish feeding are introduced.•It …

Single-cell fluorescence imaging is a powerful technique for studying inherently
heterogeneous biological processes. To correlate a genotype or phenotype to a specific cell …

To address the incomplete problem in pulmonary parenchyma segmentation based on the
traditional methods, a novel automated segmentation method based on an eight-neighbor …

Fuzzy c-means (FCM) clustering algorithms have been proved to be effective image
segmentation techniques. However, FCM clustering algorithms are sensitive to noises and …

Thousand-grain weight is a key indicator of crop yield and an important parameter for
evaluating cultivation measures. Existing methods based on image analysis are convenient …

The objective of this study was to determine the effects of flow rates and layer thicknesses for
the aggregates on the estimation of the aggregate gradation of an asphalt mixture based on …

It is important to segment fish images accurately for realizing automatic and welfare fish
farming. In aquaculture, there is a large amount of overlap between fish bodies due to the …

There has been a large explosion of information in the field of dioxygen activating nonheme
iron enzymes since the last edition of Comprehensive Coordination Chemistry, namely …

Image segmentation is a key part of ore separation process based on X-ray images, and its
segmentation result directly affects the accuracy of ore classification. In the field of ore …

Shrimp that touch each other can be slightly misleading in assessing shrimp quality using a
machine vision system. To address this problem, a recognition-based segmentation …