In the mining industry, accurate monitoring of the elemental composition in the flotation froth
is crucial for efficient minerals separation. The hybrid deep learning algorithms offer …

The ratio of various types of ores on a conveyor belt indicates how well the ores are
blended, which can play a crucial role in determining the quality of steel. However, the …

Extraction of information from froth images is important for automatic control of froth flotation.
However, images captured by cameras often suffer from severe uneven lighting, which …

The visual characteristics of froths on flotation cell surfaces are crucial for the optimal control
of the flotation process. However, previous research has primarily focused on optimizing …

During the mineral flotation process, the size characteristics of the surface froth significantly
influence the production indicators of the flotation process. However, the information within …

During flotation, the features of the froth image are highly correlated with the concentrate
grade and the corresponding working conditions. The static features such as color and size …

In the transformative field of mineral processing, the need for innovative technologies to
overcome inherent difficulties and a critical shortage of high-quality data is an acute …

Polycystic ovary syndrome (PCOS) is a common endocrine disorder that affects reproductive-
age women. Image analysis techniques, particularly edge detection, play a crucial role in …

In the mineral processing industry, specifically in froth flotation, the extraction of detailed
information from bubble images is imperative for effective monitoring of the flotation process …

Aimed to mitigate the challenges associated with manual detection, such as elevated risks
and limited accuracy, a machine vision-based automatic measurement method is proposed …