From the autonomous car driving to medical diagnosis, the requirement of the task of image
segmentation is everywhere. Segmentation of an image is one of the indispensable tasks in …

Hyperspectral images (HSIs) provide exceptional spatial and spectral resolution of a scene,
crucial for various remote sensing applications. However, the high dimensionality, presence …

Human-Object Interaction (HOI) recognition, due to its significance in many computer vision-
based applications, requires in-depth and meaningful details from image sequences …

The advent of technology has led to substantial progress in the field of autonomous vehicles
(AVs), indicating that AVs will become a generic mode of transport in the near future …

With the continuous increase of the amount of information, people urgently need to identify
the information in the image in more detail in order to obtain richer information from the …

Pointer meters are widely used in modern industries, such as petrochemical applications,
substations, and nuclear power plants. To overcome the reading errors and inaccurate …

Hierarchical image segmentation is a prevalent technique in the literature for improving
segmentation quality, where the segmentation result needs to be searched at different …

In recent years, several superpixel-segmentation methods have been developed to
efficiently segment noisy images. However, these methods still face challenges such as high …

In this paper, we propose a novel color-texture image segmentation method based on local
histograms. Starting with clustering-based color quantization, we extract a sufficient number …

The packaging structure, internal defects, and external loads have a significant impact on
the reliability and ultimate failure of chip performance. Therefore, establishing a refined …