Body condition scoring of livestock is widely used as a subjective method for assessing
energy reserves and making management decisions for livestock. Since animal dimensions …

Predicting the live weight of cattle helps us monitor the health of animals, conduct genetic
selection, and determine the optimal timing of slaughter. On large farms, accurate and …

In this paper, we propose a fast and efficient explicit three-dimensional (3D) mesh denoising
algorithm that utilizes the Allen–Cahn (AC) equation with a fidelity term. The phase-field …

Infrared imaging technology is widely used in the fault diagnosis of power equipment. The
power equipment images obtained by infrared thermal cameras generally have the …

A new algorithm for classification of breast pathologies in digital mammography using a
convolutional neural network and transfer learning is proposed. The following pretrained …

In this paper, we propose a new algorithm for segmentation of breast masses in digital
mammography based on U-Net deep convolutional neural networks. All raw mammogram …

In order to improve the quality of edge details of remote sensing image and solve the
problem of large-scale holes and edge loss in remote sensing image, a new hole filling and …

The traditional linear regression algorithm is used to predict the live weight of livestock.
However, this traditional method is inadequate for accurate prediction. Recently, a few …

Blurred Image Matching (BIM) is based on image pre-processing and Blob detection. BIM
has been designed to function with images presenting a strong level of noise of different …

The volume parameter is the basic content of an object morphology analysis. In this article,
we propose a new fast object volume calculation algorithm from the point cloud. The …