Results 71 to 80 of about 2,715 (183)

Analisis Perbandingan Kinerja Metode Superpixel dan Gradien berbasis Edge Detector pada Pendeteksian Objek Bergerak

Jurnal Elkomika, 2020
ABSTRAK Salah satu bagian dalam algoritma pemrosesan citra adalah proses segmentasi yang menjadi tahap pra-pemrosesan untuk ekstraksi fitur objek. Superpixel menjadi salah satu solusi pada proses segmentasi dengan mendefenisikan kumpulan piksel yang ...
MUHAMMAD KHAERUL NAIM MURSALIM, IHSAN VERDIAN   +1 more
doaj   +1 more source

A Bridge Transformer Network With Deep Graph Convolution for Hyperspectral Image Classification

CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 464-482, April 2026.
ABSTRACT Transformers have been widely applied to hyperspectral image classification, leveraging their self‐attention mechanism for powerful global modelling. However, two key challenges remain as follows: excessive memory and computational costs from calculating correlations between all tokens (especially as image size or spectral bands increase) and ...
Yuquan Gan, Siyu Wu, Chang Su, Nan Xiang, Zhijie Xu, Yushan Pan   +5 more
wiley   +1 more source

Boundary-preserving superpixel segmentation

Journal of Applied Science and Engineering
In recent years, superpixel segmentation has been widely used in image processing tasks as a preprocessing step. Superpixel segmentation aims to group pixels into homogeneous regions while maintaining edges.
Yuejia Lin, Zhao Li, Chenxun Yuan, Yi Liu   +3 more
doaj   +1 more source

Geometry-based Superpixel Segmentation - Introduction of Planar Hypothesis for Superpixel Construction

Proceedings of the 10th International Conference on Computer Vision Theory and Applications, 2015
Superpixel segmentation is widely used in the preprocessing step of many applications. Most of existing methods are based on a photometric criterion combined to the position of the pixels. In the same way as the Simple Linear Iterative Clustering (SLIC) method, based on k-means segmentation, a new algorithm is introduced.
Marie-Anne Bauda, Sylvie Chambon, Pierre Gurdjos, Vincent Charvillat   +3 more
openaire   +2 more sources

Interpretable Machine Learning: A Comprehensive Review of Foundations, Methods, and the Path Forward

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This systematic review of 352 studies establishes a comprehensive taxonomy for Interpretable Machine Learning, transitioning from foundational intrinsic models to advanced deep learning explanations. It reveals a critical paradigm shift toward “mechanistic interpretability” and actionable recourse, emphasizing that future AI systems must be rigorously ...
Shimon Fridkin, Michael Bendersky
wiley   +1 more source

AU-super: superpixel scale optimization and training data augmentation strategy for hyperspectral image classification

Frontiers in Remote Sensing
The spectral information of each pixel in hyperspectral images contains valuable information about object properties, although accurate labeling is required in supervised classification to guide the model in distinguishing different land cover types ...
Yiran Wang, Lingling Li, Mingming Xu, Shanwei Liu, Muhammad Yasir, Manuel Á. Aguilar, Fernando J. Aguilar   +6 more
doaj   +1 more source

A Random Walker Algorithm for Plate Boundary Detection in Spherical Mantle Convection Models and Global Geophysical Data Sets: Application to Euler Vector Determination

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.
Abstract As spherical shell mantle convection models become increasingly commonplace, understanding how plates are generated has raised the issue of how to recognize whether rigid plates are present in model output. Tectonocists have long recognized that intraplate regions are not rigid without exception.
P. Javaheri, J. P. Lowman
wiley   +1 more source

Improved Fast Generation of Superpixel Algorithms with Deep Network

Jisuanji kexue yu tansuo, 2020
Superpixels are the result of over-segmentation of the image and provide an intermediate representation of the image data. It plays an important role in the research of computer vision and other fields. However, the existing superpixel algorithms are non-
SHENG Jiachuan, WANG Jiayuan, LI Yuzhi, WANG Jun
doaj   +1 more source

Deteksi Teks Secara Otomatis Pada Natural Image Berbasis Superpixel Menggunakan Maximally Stable Extremal Regions dan Stroke Width Transform

JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2017
Text detection in natural image is something to do before performing character recognition. The process of text detection plays an important role in the acquisition of information in an image.
Yohannes Yohannes
doaj   +1 more source

Analysis of the ship target detection in high-resolution SAR images based on information theory and Harris corner detection

EURASIP Journal on Wireless Communications and Networking, 2018
In order to make up the shortcomings of some existing ship target detection algorithms for high-resolution synthetic aperture radar (SAR) images, a ship target detection algorithm based on information theory and Harris corner detection for SAR images is ...
Yangyang Deng, Haijiang Wang, Shuo Liu, Min Sun, Xiaohong Li   +4 more
doaj   +1 more source