Results 211 to 220 of about 15,689 (243)

Vine Spread for Superpixel Segmentation

IEEE Transactions on Image Processing, 2023
Superpixel is the over-segmentation region of an image, whose basic units "pixels" have similar properties. Although many popular seeds-based algorithms have been proposed to improve the segmentation quality of superpixels, they still suffer from the seeds initialization problem and the pixel assignment problem.
Pei Zhou, Xuejing Kang, Anlong Ming
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Multifocus image fusion using superpixel segmentation and superpixel-based mean filtering

Applied Optics, 2016
To achieve better performance in multifocus image fusion problems, a new regional approach based on superpixels and superpixel-based mean filtering is proposed in this paper. First, a fast and effective segmentation method is adopted to generate the superpixels over a clarity-enhanced average image.
Junwei, Duan, Long, Chen, C L, Philip Chen   +2 more
openaire   +2 more sources

Superpixels With Content-Adaptive Criteria

IEEE Transactions on Image Processing, 2021
Superpixels are widely used in computer vision applications. Most of the existing superpixel methods use established criteria to indiscriminately process all pixels, resulting in superpixel boundary adherence and regularity being unnecessarily inter-inhibitive.
Ye Yuan, Wei Zhang, Hai Yu, Zhiliang Zhu
openaire   +2 more sources

Spherical superpixel segmentation

2016 IEEE International Conference on Multimedia and Expo (ICME), 2016
In this paper, we present a superpixel generation method for spherical images, which cover 360° field-of-view. Unlike previous works that directly use existing superpixel algorithms on unrolled spherical images, our approach explicitly considers the geometry for spherical images and uses sphere as the underlying representation.
Qiang Zhao, Liang Wan, Jiawan Zhang
openaire   +1 more source

Superpixel Endmember Detection

IEEE Transactions on Geoscience and Remote Sensing, 2010
Superpixels are homogeneous image regions comprised of multiple contiguous pixels. Superpixel representations can reduce noise in hyperspectral images by exploiting the spatial contiguity of scene features. This paper combines superpixels with endmember extraction to produce concise mineralogical summaries that assist in browsing large image catalogs ...
David R. Thompson, Lukas Mandrake, Martha S. Gilmore, Rebecca Castano   +3 more
openaire   +1 more source

Saliency-based superpixels

Signal, Image and Video Processing, 2013
Superpixels provide an over-segmentation representation of a natural image. However, they lack information of the entire object. In this paper, we propose a method to obtain superpixels through a merging strategy based on the bottom-up saliency values of superpixels.
Linfeng Xu, Liaoyuan Zeng, Zhengning Wang   +2 more
openaire   +1 more source

Weighted superpixel segmentation

The Visual Computer, 2019
Image boundaries and regularity are two important factors in superpixel segmentation. Balancing the influence of image boundaries and regularity is key to producing superpixels. In this paper, we present a novel superpixel segmentation algorithm, called weighted superpixel segmentation (WSS), which is capable of generating superpixels with high ...
Xin Qian, Xuemei Li, Caiming Zhang
openaire   +1 more source

Spherical Superpixel Segmentation

IEEE Transactions on Multimedia, 2018
These days, superpixel algorithms are widely used in computer vision and multimedia applications. However, existing algorithms are designed for planar images, which are less suited to deal with wide angle images. In this paper, we present a superpixel segmentation method for $\text{360}^\circ$ spherical images.
Qiang Zhao, Feng Dai, Yike Ma, Liang Wan, Jiawan Zhang, Yongdong Zhang   +5 more
openaire   +1 more source

Contour-Relaxed Superpixels

2013
We propose and evaluate a versatile scheme for image pre-segmentation that generates a partition of the image into a selectable number of patches 'superpixels', under the constraint of obtaining maximum homogeneity of the 'texture' inside of each patch, and maximum accordance of the contours with both the image content as well as a Gibbs-Markov random ...
Christian Conrad, Matthias Mertz, Rudolf Mester   +2 more
openaire   +1 more source

Benchmarking superpixel descriptors

2015 23rd European Signal Processing Conference (EUSIPCO), 2015
Superpixels are useful intermediate representations for many computer vision tasks. While the segmentation step is well studied, the subsequent creation of meaningful descriptors lacks this foundation. Superpixels have similar properties like affine covariant regions (keypoints), but there are fundamental differences that led to a different set of ...
Peer Neubert, Peter Protzel
openaire   +1 more source