In computer vision, edge and object contour detection is essential for higher-level vision
tasks, such as shape matching, visual salience, image segmentation, and object recognition …

Edge detection is represented as one of the most challenging tasks in computer vision, due
to the complexity of detecting the edges or boundaries in real-world images that contains …

In the contemporary era, data holds a vital significance, and ensuring the security of data
stands as an exceptionally challenging endeavor. Both industry and academia dedicate …

Digital imaging is omnipresent nowadays due to the expansion of the mobile device industry
and its use cases. However, the diversity of sensors and hardware limitations often lead to …

Sharpening filters are used to highlight fine image details, including object edges. However,
sharpening filters are very specific to different types of images as they may create undesired …

The paper has focussed on the global landcover for the identification of cropland areas.
Population growth and rapid industrialization are somehow disturbing the agricultural lands …

In recent years, deep learning-based solutions have proven successful in the domains of
image enhancement. This paper introduces LYT-Net, or Lightweight YUV Transformer …

Electronic component classification often constitutes the uncomplicated task of classifying a
single object on a simple background. It is because, in many applications, a technological …

Object formation is imperative to the recent computer vision, pattern recognition, healthcare,
and automation applications. The objects are generated from images by defining edges and …

Image stitching aims to synthesize a wider and more informative whole image, which has
been widely used in various fields. This study focuses on improving the accuracy of image …