Search Results - "Image segmentation"

An automatic segmentation method for coal gangue based on improved region growing algorithm.

Authors: Li, Donghui Wu, Hao Chen, Kaiyun et al.

Source: International Journal of Coal Preparation & Utilization. 2026, Vol. 46 Issue 7, p1992-2017. 26p.

Subject Terms: *Image segmentation, *Algorithms, *Coal, *Manipulators (Machinery), *Image processing

Improved mask R-CNN-based instance segmentation model for coal gangue.

Authors: Sun, Peibo Wu, Weimin

Source: International Journal of Coal Preparation & Utilization. 2026, Vol. 46 Issue 6, p1601-1619. 19p.

Subject Terms: *Image segmentation, *Coal mine waste, *Feature extraction

Segmentation and classification of ovarian cancer based on conditional adversarial image to image translation approach.

Authors: Kodipalli, Ashwini Devi, Susheela Dasar, Santosh et al.

Source: Expert Systems. Jun2026, Vol. 43 Issue 6, p1-16. 16p.

Breast cancer classification and segmentation framework using multiscale CNN and U‐shaped dual decoded attention network.

Authors: Umer, Muhammad Junaid Sharif, Muhammad Wang, Shui‐Hua

Source: Expert Systems. Jun2026, Vol. 43 Issue 6, p1-19. 19p.

SCDNet 1.0: Adaptive CNN Framework for Sickle Cell Disease Detection with OTSU Segmentation and Gaussian Filter.

Authors: Jain, Vanita Dubey, Arun Kumar Jain, Achin

Source: Journal of Intelligent & Fuzzy Systems. Jul2026, Vol. 50 Issue 7, p2086-2100. 15p.

A Quantitative Descriptor for Chalky and Discoloration Damage in Rice Grains.

Authors: Sapkal, Niteen K. R., Anoop Selot, Tanishq et al.

Source: Journal of Food Quality. 6/10/2026, Vol. 2026, p1-28. 28p.

TAU-Net: Mitigating Oversegmentation with a Topology and CBAM Augmented Attention U-Net.

Authors: Kumar, Sanjeet Pilania, Urmila

Source: IAENG International Journal of Computer Science. Jul2026, Vol. 53 Issue 7, p2727-2739. 13p.

Subjects: Topology, Image segmentation, Diagnostic imaging, Deep learning, Loss functions (Statistics), Magnetic resonance imaging

Dynamic Attention-Guided Convolutional Network for Retinal Vessel Segmentation.

Authors: Zhang, Xihong¹ zhangxihong2025@163.com

Source: IAENG International Journal of Computer Science. Jul2026, Vol. 53 Issue 7, p2546-2557. 12p.

Subjects: Image segmentation, Convolutional neural networks, Fundus oculi, Feature extraction, Image processing, Artificial neural networks

Image defogging algorithm combining SLIC super-pixel segmentation and transmission optimization.

Authors: LI, Jiying LIU, Yu LIU, Jie

Source: Journal of Measurement Science & Instrumentation. Jun2026, Vol. 17 Issue 2, p267-277. 11p.

Subjects: Image segmentation, Light transmission, Haze, Image processing, Image enhancement (Imaging systems)

Investigating Scene Segmentation for Improving Satellite-Derived Bathymetry Accuracy and Coverage.

Authors: Affonso, Juliane Kastrisios, Christos Parrish, Christopher E. et al.

Source: Journal of Coastal Research. 2026, Vol. 42 Issue 4, p706-719. 14p.

Subjects: Image segmentation, Bathymetry, Oceanographic maps, Spatial analysis (Statistics), Remote-sensing images

Segmentation Improvement of Cardiac Regions in MRI using Hybrid Early-Late Fusion U-Net (HELFU-Net).

Authors: Salim, Ula T. Dawwd, Shefa A. Ali, Fakhrulddin H.

Source: Al-Rafadain Engineering Journal. Jun2026, Vol. 31 Issue 2, p38-45. 8p.

Subjects: Image segmentation, Image fusion, Deep learning, Computer-assisted image analysis (Medicine)

Effect of Attention Mechanisms in a Fuzzified Nested U-Net for Medical Image Segmentation.

Authors: Basheer, Noor M. Al-Saegh, Ali

Source: Al-Rafadain Engineering Journal. Jun2026, Vol. 31 Issue 2, p23-37. 15p.

Subjects: Image segmentation, Deep learning, Convolutional neural networks, Computer-assisted image analysis (Medicine), Cardiovascular disease diagnosis

Automatic Segmentation and Recognition of the Microstructure of High-Strength Low-Alloy Steel.

Authors: Wang, Lu Ren, Ziying Song, Baoyu et al.

Source: Materials (1996-1944). Jun2026, Vol. 19 Issue 12, p2554. 16p.

Subjects: Image segmentation, Microstructure, Artificial neural networks, Crystal grain boundaries, Low alloy steel, Image processing

Intertidal Seagrass Mapping Using UAV Visible and Multispectral Imagery: A Comparative Semantic Segmentation Study with Explainability Analysis.

Authors: Lian, Jiali Mo, Zhanyou Liu, Zhimin et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 12, p2057. 26p.

Subjects: Multispectral imaging, Image segmentation, Wetlands monitoring, Drone photography, Deep learning, Remote sensing

Fusion of RGB and LiDAR Modalities for Building Footprint Extraction Using High-Resolution Aerial Imagery.

Authors: Serbán, Norbert Enyedi, Péter Burai, Péter et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 12, p2049. 21p.

Subjects: Point cloud, Image segmentation, Deep learning, Aerial photographs, Land use mapping

DCA-UNet for Landslide Segmentation with Deformable Convolution and Aggregated Attention.

Authors: Song, Yingxu Luo, Jie Wang, Cheng et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 12, p2000. 19p.

Subjects: Image segmentation, Landslide hazard analysis, Benchmark problems (Computer science), Remote sensing

Semantic Segmentation of Pegmatite Dikes in High-Resolution Remote Sensing Imagery Using GAD-UNet++ in the Yilanlike Area, South Tianshan.

Authors: Wu, Zirui Chen, Chuan Yu, Yuanjun et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 12, p1988. 36p.

Subjects: Remote sensing, Image segmentation, Pegmatites, Prospecting, Structural geology

Geographic Terms: Tien Shan, Xinjiang Uygur Zizhiqu (China)

MSMamba: A Multi-Semantic Mamba Framework for Referring Remote Sensing Image Segmentation.

Authors: Zhang, Tianxiang Li, Junbai Feng, Yanqiang et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 12, p1949. 23p.

Subjects: Image segmentation, Decoding algorithms, Software frameworks, Dynamical systems

Boundary-Aware Multi-Scale Feature Enhancement Based Few-Shot Hyperspectral Image Semantic Segmentation.

Authors: Zhang, Xiaorong Li, Siyuan Zheng, Xi

Source: Remote Sensing. Jun2026, Vol. 18 Issue 12, p1911. 22p.

Subjects: Image segmentation, Signal convolution, Machine learning, Generalization, Remote sensing, Mathematical convolutions

IR-SAM2: Target Enhancement with SAM2 for Infrared Small Target Detection.

Authors: Hao, Zongduo Dang, Xiaocui Zhang, Yanyu et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 12, p1891. 24p.

Subjects: Image segmentation, Signal detection, Machine learning, Image enhancement (Imaging systems)