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 …

Object contour plays an important role in fields such as semantic segmentation and image
classification. However, the extraction of contour is a difficult task, especially when the …

This paper presents a novel image feature representation method, namely color difference
histograms (CDH), for image retrieval. This method is entirely different from the existing …

Algorithms that encode images using a sparse set of basis functions have previously been
shown to explain aspects of the physiology of a primary visual cortex (V1), and have been …

Edge detection is a subjective task. Traditionally, a moving window approach is used, but
the window size in edge detection is a tradeoff between localization accuracy and noise …

Edge detection is an important research area that finds widespread applications in various
fields, like image segmentation, shape extraction, pattern recognition, medical image …

We develop an approach for the detection of ruins of livestock enclosures (LEs) in alpine
areas captured by high-resolution remotely sensed images. These structures are usually of …

In this paper, we propose a novel image retrieval method called hybrid information
descriptors (HIDs) consisting of mutual information descriptors (MIDs) and self information …

A novel shape from focus method combining 3D steerable filter for improved performance on
treating textureless region was proposed in this paper. Different from conventional spatial …

Salient contour detection is the key step of visual perception and is very important for visual
detection and object recognition. In this paper, a new contour detection method, which is …