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A NEW FRAMEWORK FOR OBJECT-BASED IMAGE ANALYSIS BASED ON SEGMENTATION SCALE SPACE AND RANDOM FOREST CLASSIFIER [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
In this paper a new object-based framework is developed for automate scale selection in image segmentation. The quality of image objects have an important impact on further analyses.
A. Hadavand, M. Saadatseresht, S. Homayouni   +2 more
doaj   +3 more sources

Image segmentation through the scale-space random walker [PDF]

, 2021
This thesis proposes an extension to the Random Walks assisted segmentation algorithm that allows it to operate on a scale-space. Scale-space is a multi-resolution signal analysis method that retains all of the structures in an image through progressive blurring with a Gaussian kernel.
Richard Rzeszutek
openalex   +3 more sources

A Large-Scale Synthetic Benchmark Dataset for Non-Cooperative Space Target Perception [PDF]

Scientific Data
The automatic, accurate perception of targets in space is a crucial prerequisite for many on-orbit aerospace missions. Therefore, research on perception technologies within spaceborne images is meaningful.
Yuxuan Liu, Chunjiang Bian, Hongbin Nie, Shi Chen, Ziqian Yang   +4 more
doaj   +2 more sources

MGVSS-UNet: A Novel U-Net Architecture Integrating Multi-Scale Global Visual State Space for Medical Image Segmentation

IEEE Access
Medical image segmentation plays an essential role in computer-aided diagnosis, supports physicians with fast and accurate information to make timely treatment decisions.
Yu Liu, Yanping Chen, Yang Yu
doaj   +2 more sources

A lightweight network for brain MRI segmentation [PDF]

Scientific Reports
Brain MRI segmentation plays a crucial role in medical imaging, aiding in the identification and monitoring of brain diseases. This research presents a novel deep learning-based framework designed to achieve high segmentation accuracy while maintaining a
Pubali Chatterjee, Amlan Chakrabarti, Kaushik Das Sharma   +2 more
doaj   +2 more sources

Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI [PDF]

, 2020
Brain pathologies can vary greatly in size and shape, ranging from few pixels (i.e. MS lesions) to large, space-occupying tumors. Recently proposed Autoencoder-based methods for unsupervised anomaly segmentation in brain MRI have shown promising performance, but face difficulties in modeling distributions with high fidelity, which is crucial for ...
Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab   +3 more
openalex   +4 more sources

Scale-space for empty catheter segmentation in PCI fluoroscopic images [PDF]

International Journal of Computer Assisted Radiology and Surgery, 2017
In this article, we present a method for empty guiding catheter segmentation in fluoroscopic X-ray images. The guiding catheter, being a commonly visible landmark, its segmentation is an important and a difficult brick for Percutaneous Coronary Intervention (PCI) procedure modeling.In number of clinical situations, the catheter is empty and appears as ...
Ketan Bacchuwar, Jean Cousty, Régis Vaillant, Laurent Najman   +3 more
openalex   +5 more sources

Object-Based Change Detection in Urban Areas: The Effects of Segmentation Strategy, Scale, and Feature Space on Unsupervised Methods [PDF]

Remote Sensing, 2016
Object-based change detection (OBCD) has recently been receiving increasing attention as a result of rapid improvements in the resolution of remote sensing data.
Lei Ma, Manchun Li, Thomas Blaschke, Xiaoxue Ma, Dirk Tiede, Liang Cheng, Zhenjie Chen, Dong Chen   +7 more
doaj   +2 more sources

Multiresolution segmentation of natural images: from linear to nonlinear scale-space representations [PDF]

IEEE Transactions on Image Processing, 2004
In this paper, we introduce a framework that merges classical ideas borrowed from scale-space and multiresolution segmentation with nonlinear partial differential equations. A non-linear scale-space stack is constructed by means of an appropriate diffusion equation.
Ana Petrović, O. Divorra Escoda, Pierre Vandergheynst   +2 more
openalex   +4 more sources

Scale Space Operators on Hierarchies of Segmentations [PDF]

, 2013
A hierarchy of segmentations(partitions) is a multiscale set representation of the image. This paper introduces a new set of scale space operators or transformations on the space of hierarchies of partitions. An ordering of hierarchies is proposed which is endowed by an ω-ordering based on a global energy over the classes of the hierarchy.
Bangalore Ravi Kiran, Jean Serra
openalex   +4 more sources