Color image segmentation: advances and prospects
HD Cheng, XH Jiang, Y Sun, J Wang - Pattern recognition, 2001 - Elsevier
Image segmentation is very essential and critical to image processing and pattern
recognition. This survey provides a summary of color image segmentation techniques …
recognition. This survey provides a summary of color image segmentation techniques …
Vector directional filters-a new class of multichannel image processing filters
PE Trahanias… - IEEE Transactions on …, 1993 - ieeexplore.ieee.org
Vector directional filters (VDF) for multichannel image processing are introduced and
studied. These filters separate the processing of vector-valued signals into directional …
studied. These filters separate the processing of vector-valued signals into directional …
Recursive high-resolution reconstruction of blurred multiframe images
SP Kim, WY Su - IEEE Transactions on Image Processing, 1993 - ieeexplore.ieee.org
An approach to obtaining high-resolution image reconstruction from low-resolution, blurred,
and noisy multiple-input frames is presented. A recursive-least-squares approach with …
and noisy multiple-input frames is presented. A recursive-least-squares approach with …
Detection and classification of edges in color images
Up to now, most of the color edge detection methods are monochromatic-based techniques,
which produce, in general, better than when traditional gray-value techniques are applied. In …
which produce, in general, better than when traditional gray-value techniques are applied. In …
A morphological gradient approach to color edge detection
AN Evans, XU Liu - IEEE Transactions on Image Processing, 2006 - ieeexplore.ieee.org
A new color edge detector based on vector differences is proposed. The basic technique
gives as its output the maximum distance between the vectors within a mask. When applied …
gives as its output the maximum distance between the vectors within a mask. When applied …
Directional processing of color images: theory and experimental results
The processing of color image data using directional information is studied. The class of
vector directional filters (VDF), which was introduced by the authors in a previous work, is …
vector directional filters (VDF), which was introduced by the authors in a previous work, is …
Semantic edge detection with diverse deep supervision
Semantic edge detection (SED), which aims at jointly extracting edges as well as their
category information, has far-reaching applications in domains such as semantic …
category information, has far-reaching applications in domains such as semantic …
Color edge detector using jointly hue, saturation and intensity
T Carron, P Lambert - … of 1st International Conference on Image …, 1994 - ieeexplore.ieee.org
In the hue saturation intensity (HSI) space, a hue difference taking into account the hue
relevance is defined. A hue gradient operator is build up with this hue difference. Two color …
relevance is defined. A hue gradient operator is build up with this hue difference. Two color …
Advanced color edge detection using clifford algebra in satellite images
UA Bhatti, Z Ming-Quan, H Qing-Song… - IEEE Photonics …, 2021 - ieeexplore.ieee.org
Edge detection is widely used for image processing to improve the detection and
classification of objects, segmentation, and extraction of other features. Satellite images are …
classification of objects, segmentation, and extraction of other features. Satellite images are …
A novel edge detection method based on the maximizing objective function
CC Kang, WJ Wang - Pattern Recognition, 2007 - Elsevier
This paper proposes a novel edge detection method for both gray level images and color
images. The 3× 3 mask in the image is considered and two pixel sets S0 and S1 in the mask …
images. The 3× 3 mask in the image is considered and two pixel sets S0 and S1 in the mask …