Results 11 to 20 of about 90,756 (258)

Multi‐source heterogeneous iris segmentation method based on lightweight convolutional neural network

open access: yesIET Image Processing, 2023
Iris segmentation is a critical step in the iris recognition system. Since the quality of iris database taken under different camera sensors varies greatly, thus most existing iris segmentation methods are designed for a particular collection device ...
Guang Huo, Dawei Lin, Meng Yuan
doaj   +1 more source

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

open access: yesThe 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   +2 more
doaj   +1 more source

The Active Segmentation Platform for Microscopic Image Classification and Segmentation

open access: yesBrain Sciences, 2021
Image segmentation still represents an active area of research since no universal solution can be identified. Traditional image segmentation algorithms are problem-specific and limited in scope.
Sumit K. Vohra, Dimiter Prodanov
doaj   +1 more source

Liver Semantic Segmentation Algorithm Based on Improved Deep Adversarial Networks in Combination of Weighted Loss Function on Abdominal CT Images

open access: yesIEEE Access, 2019
Due to the space inconsistency between benchmark image and segmentation result in many existing semantic segmentation algorithms for abdominal CT images, an improved model based on the basic framework of DeepLab-v3 is proposed, and Pix2pix network is ...
Kaijian Xia   +4 more
doaj   +1 more source

HT-Net: A Hybrid Transformer Network for Fundus Vessel Segmentation

open access: yesSensors, 2022
Doctors usually diagnose a disease by evaluating the pattern of abnormal blood vessels in the fundus. At present, the segmentation of fundus blood vessels based on deep learning has achieved great success, but it still faces the problems of low accuracy ...
Xiaolong Hu, Liejun Wang, Yongming Li
doaj   +1 more source

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

open access: yesInternational 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 ...
Bacchuwar, Ketan   +3 more
openaire   +4 more sources

A rapid detection method for UAV-borne high-resolution SAR image targets [PDF]

open access: yesZhihui kongzhi yu fangzhen, 2023
Aiming at the limited space and resources of the UAV platform, the inaccurate target labeling and excessive calculation amount of high-resolution SAR image detection, a rapid detection method for UAV-borne high-resolution SAR image targets is proposed ...
WANG Zhongbao, YIN Kuiying
doaj   +1 more source

Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces [PDF]

open access: yes2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
We formulate an energy for segmentation that is designed to have preference for segmenting the coarse over fine structure of the image, without smoothing across boundaries of regions. The energy is formulated by integrating a continuum of scales from a scale space computed from the heat equation within regions.
Naeemullah Khan   +3 more
openaire   +1 more source

Selected Applications of Scale Spaces in Microscopic Image Analysis

open access: yesCybernetics and Information Technologies, 2015
Image segmentation methods can be classified broadly into two classes: intensity-based and geometry-based. Edge detection is the base of many geometry-based segmentation approaches.
Prodanov Dimiter   +2 more
doaj   +1 more source

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

open access: yesIEEE 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   +1 more source

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