Abstract: In recent years, image segmentation has been widely applied in fields such as medical image analysis, autonomous driving, and remote sensing. While traditional deep learning segmentation ...

The automotive image signal processor market sees opportunities in enhancing ADAS, meeting stringent safety norms, and advancing towards autonomous and software-defined vehicles. Key prospects include ...

The system enables pixel-level alignment between shape and spectral data, allowing detailed visualization of traits like ...

Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can reduce fruit yields. However, physically removing weeds is not only ...

Key market opportunities in camera image signal processors include optimizing AI-driven processing for diverse conditions, meeting demands in automotive, medical, and smartphone sectors, and ...

Abstract: The U-Net algorithm, with its unique network structure and excellent performance, has become a classic algorithm in the field of image semantic segmentation. However, there are still some ...

Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter ...

A research team has developed a binocular multispectral stereo imaging (BMSI) system capable of capturing synchronized three-dimensional (3D) plant ...

Introduction: Pore space in tight sandstone formation is very complex with micro-scale and nano-scale pores/throats, the multi-scale characteristics needs to be considered for the construction of ...