Results 161 to 170 of about 3,488 (207)

Content-Adaptive Superpixel Segmentation

IEEE Transactions on Image Processing, 2018
Superpixel segmentation targets at grouping pixels in an image into atomic regions whose boundaries align well with the natural object boundaries. This paper first proposes a new feature representation for superpixel segmentation that holistically embraces color, contour, texture, and spatial features.
Xiaolin Xiao, Yicong Zhou, Yue-Jiao Gong   +2 more
exaly   +3 more sources

Lazy Random Walks for Superpixel Segmentation

IEEE Transactions on Image Processing, 2014
We present a novel image superpixel segmentation approach using the proposed lazy random walk (LRW) algorithm in this paper. Our method begins with initializing the seed positions and runs the LRW algorithm on the input image to obtain the probabilities of each pixel.
Jianbing Shen, Wenguan Wang, Xuelong Li   +2 more
exaly   +3 more sources

SymmSLIC: Symmetry Aware Superpixel Segmentation

2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017
Over-segmentation of an image into superpixels has become an useful tool for solving various problems in computer vision. Reflection symmetry is quite prevalent in both natural and man-made objects. Existing algorithms for estimating superpixels do not preserve the reflection symmetry of an object which leads to different sizes and shapes of ...
Rajendra Nagar, Shanmuganathan Raman
openaire   +2 more sources

Fuzzy Superpixel-based Image Segmentation

Pattern Recognition, 2023
Tsz Ching Ng, Siu Kai Choy, Benson S Y Lam   +2 more
exaly   +2 more sources

Variational Fuzzy Superpixel Segmentation

IEEE Transactions on Fuzzy Systems, 2022
This paper presents a novel variational model based on fuzzy clustering and total variation regularization for superpixel segmentation. Compared with the classical hard-labeled methodologies, our approach gives soft results via the fuzzy membership function, and moreover, the use of total variation provides additional information that can enhance the ...
Tsz-Ching Ng, Siu-Kai Choy
openaire   +1 more source

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
openaire   +2 more sources

Real-Time Superpixel Segmentation by DBSCAN Clustering Algorithm

IEEE Transactions on Image Processing, 2016
In this paper, we propose a real-time image superpixel segmentation method with 50 frames/s by using the density-based spatial clustering of applications with noise (DBSCAN) algorithm. In order to decrease the computational costs of superpixel algorithms,
Jianbing Shen, Wenguan Wang, Ling Shao   +2 more
exaly   +2 more sources

Superpixel Convolution for Segmentation

2018 25th IEEE International Conference on Image Processing (ICIP), 2018
In this paper, we propose a novel segmentation algorithm based on convolutional neural networks (CNNs) on superpix-else CNNs are powerful methods for several computer vision tasks, but spatial information disappears through the pooling process.
Teppei Suzuki, Shuichi Akizuki, Naoki Kato, Yoshimitsu Aoki   +3 more
openaire   +1 more source

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 0005, Liang Wan, Jiawan Zhang
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 0001, Caiming Zhang 0001   +2 more
openaire   +1 more source