Results 21 to 30 of about 24,390 (215)

Processing of microCT implant-bone systems images using Fuzzy Mathematical Morphology [PDF]

open access: yes, 2016
The relationship between a metallic implant and the existing bone in a surgical permanent prosthesis is of great importance since the fixation and osseointegration of the system leads to the failure or success of the ...
Ballarre, Josefina   +4 more
core   +1 more source

Linear filtering and mathematical morphology on an image: A bridge [PDF]

open access: yes, 2009
International audienceIn this paper, we propose to show that a particular fuzzy extension of mathematical morphology coincides with a non-additive extension of linear filtering based on convolution kernels thus bridging the two ...
Loquin, Kevin, Strauss, Olivier
core   +3 more sources

Compensatory fuzzy mathematical morphology

open access: yesSignal, Image and Video Processing, 2017
In this paper, we propose the use of compensatory fuzzy logic to extend mathematical morphology (MM) operators to gray-level images, in a similar way than fuzzy logic is used, naming it compensatory fuzzy mathematical morphology (CFMM). We study the compliance with the four principles of quantification and analyze the robustness of these operators by ...
Bouchet, Agustina   +3 more
openaire   +2 more sources

Feature Enhancement Method for Fuzzy Image Using Mathematical Morphology and Deep Learning [PDF]

open access: yesBrazilian Archives of Biology and Technology
High-definition images can provide valuable reference for research in fields such as medical image analysis and machine vision. Therefore, image feature enhancement is performed to obtain high-quality images.
Meijia Wang, Yupeng Sang
doaj   +1 more source

Edge Detection based in Interval-Valued Fuzzy Mathematical Morphology and Aggregation Functions K

open access: yesSelecciones Matemáticas, 2019
Edge detection is a digital image processing tool. It determines points in a digital image where light intensity suddenly changes. This process applies to a digital image which assumes some degree of uncertainty in the location and intensity of the pixel
Lisbeth Corbacho Carazas, Peter Sussner
doaj   +1 more source

Evaluation of Rock Burst Propensity and Rock Burst Mechanism in Deep Phosphate Mines: A Case Study of Sujiapo Phosphate Mine, Hubei Province, China

open access: yesAdvances in Materials Science and Engineering, 2022
Rockburst is one of the major problems in rock underground engineering and mechanics. To make a risk assessment of rockburst and improve the mine safety index, some evaluation systems for rockburst propensity have been proposed and applied, and progress ...
Qinrong Kang   +6 more
doaj   +1 more source

Observer-biased bearing condition monitoring: from fault detection to multi-fault classification [PDF]

open access: yes, 2016
Bearings are simultaneously a fundamental component and one of the principal causes of failure in rotary machinery. The work focuses on the employment of fuzzy clustering for bearing condition monitoring, i.e., fault detection and classification.
Cabrera, Diego   +6 more
core   +1 more source

Lower Approximations by Fuzzy Consequence Operators [PDF]

open access: yes, 2015
Peer ReviewedPostprint (author's final ...
Elorza Barbajero, Jorge   +1 more
core   +1 more source

Infrared and Visual Image Fusion through Fuzzy Measure and Alternating Operators

open access: yesSensors, 2015
The crucial problem of infrared and visual image fusion is how to effectively extract the image features, including the image regions and details and combine these features into the final fusion result to produce a clear fused image.
Xiangzhi Bai
doaj   +1 more source

GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong   +12 more
wiley   +1 more source

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