Results 1 to 10 of about 9,167 (192)

Superpixel Segmentation Based on Anisotropic Diffusion Model for Object-Oriented Remote Sensing Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Superpixel segmentation is an essential step of object-oriented remote sensing image classification; the accuracy of the superpixel segmentation boundary will directly affect the classification result.
Xiaoli Li, Jinsong Chen, Longlong Zhao, Hongzhong Li, Jin Wang, Luyi Sun, Shanxin Guo, Pan Chen, Xuemei Zhao   +8 more
doaj   +1 more source

Trainable superpixel segmentation

, 2018
Trainable Superpixel Segmentation is a plug-in developed for the ImageJ platform that aims at providing its users with the ability to train models to segment images by classifying superpixels using region-based image features. This project provides an underlying library that can be used independently, a graphic interface for ease of use and an ...
openaire   +1 more source

Rapid Recognition of Field-Grown Wheat Spikes Based on a Superpixel Segmentation Algorithm Using Digital Images. [PDF]

Front Plant Sci, 2020
Tan C, Zhang P, Zhang Y, Zhou X, Wang Z, Du Y, Mao W, Li W, Wang D, Guo W.   +9 more
europepmc   +1 more source

USNet: underwater image superpixel segmentation via multi-scale water-net

Frontiers in Marine Science
Underwater images commonly suffer from a variety of quality degradations, such as color casts, low contrast, blurring details, and limited visibility.
Chuhong Wang, Chuhong Wang, Wenli Duan, Chengche Luan, Junyan Liang, Lengyu Shen, Hua Li   +6 more
doaj   +1 more source

Research on Fine Water Body Extraction From SAR Images Based on Superpixel Segmentation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The water body extraction technology based on superpixel segmentation in SAR images faces challenges such as insufficient precision in extracting fine water boundaries under speckle noise and complex scattering conditions.
Fengcheng Guo, Xiaoxiao Ma, Ning Sun, Lianpeng Zhang, Wensong Liu   +4 more
doaj   +1 more source

Superpixel Segmentation Based Synthetic Classifications with Clear Boundary Information for a Legged Robot. [PDF]

Sensors (Basel), 2018
Zhu Y, Luo K, Ma C, Liu Q, Jin B.
europepmc   +1 more source

Local Competition-Based Superpixel Segmentation Algorithm in Remote Sensing. [PDF]

Sensors (Basel), 2017
Liu J, Tang Z, Cui Y, Wu G.
europepmc   +1 more source

A Graph-Based Superpixel Segmentation Approach Applied to Pansharpening. [PDF]

Sensors (Basel)
Hallabia H.
europepmc   +1 more source

Sagittal balance parameters measurement on cervical spine MR images based on superpixel segmentation. [PDF]

Front Bioeng Biotechnol
Zhong YF, Dai YX, Li SP, Zhu KJ, Lin YP, Ran Y, Chen L, Ruan Y, Yu PF, Li L, Li WX, Xu CL, Sun ZT, Weber KA, Kong DW, Yang F, Lin WP, Chen J, Chen BL, Jiang H, Zhou YJ, Sheng B, Wang YJ, Tian YZ, Sun YL.   +24 more
europepmc   +1 more source

Medial Features for Superpixel Segmentation

, 2009
Image segmentation plays an important role in computer vision and human scene perception. Image oversegmentation is a common technique to overcome the problem of managing the high number of pixels and the reasoning among them. Specifically, a local and coherent cluster that contains a statistically homogeneous region is denoted as a superpixel. In this
Engel, D., Spinello, L., Triebel, R., Siegwart, R., Bülthoff, H., Curio, C.   +5 more
openaire   +1 more source