Search Results - image processing methods
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161
Cost-effective PV panel cleaning system controlled by raspberry PI using image processing
Published 2025-01-01“…Image through the replaced camera is taken. The obtained image is analyzed with python codes using methods defined in the Open CV library. …”
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162
Multisensor Remote Sensing and Advanced Image Processing for Integrated Assessment of Geological Structure and Environmental Dynamics
Published 2025-01-01“…Sentinel-2 imagery was utilized alongside spectral indices, such as normalized difference vegetation index (ranging from –0.237728 to 0.604622), normalized difference water index (–0.564981 to 0.297745), and normalized difference moisture index (–0.25 to 0.320), as well as advanced image processing methods, such as principal component analysis (PCA), minimum noise fraction, and structural analysis, to assess and characterize the lake’s environmental features. …”
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163
Using Texture Analysis Image Processing Technique to Study the Effect of Microwave Plasma on the Living Tissue
Published 2018-03-01“…The present study is a hybrid method of studying the effect of plasma on the living tissue by using the image processing technique. …”
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164
Failure Detection of Laser Welding Seam for Electric Automotive Brake Joints Based on Image Feature Extraction
Published 2025-07-01“…This article first analyzes the common types of weld defects in laser welding of automotive brake joints, including craters, holes, and nibbling, and explores the causes and characteristics of these defects. Then, an image processing algorithm suitable for laser welding of automotive brake joints was studied, including pre-processing steps such as image smoothing, image enhancement, threshold segmentation, and morphological processing, to extract feature parameters of weld defects. …”
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165
High-Quality Computational Ghost Imaging Using an Optimum Distance Search Method
Published 2016-01-01“…The signal-to-noise ratio (SNR) and the relative mean square error (RMSE) are used as criteria during the search process. Both simulation and experimental results demonstrate that the proposed method can enhance imaging quality, and compressive CGI is more sensitive to distance variations than traditional CGI. …”
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166
Automatic detection and classification process for concrete defects in deteriorating buildings based on image data
Published 2025-07-01“…The effectiveness of the proposed process was reviewed through the case study, and it was confirmed that more efficient safety inspections could be supported using only image data compared to the existing methods. …”
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167
MATADOR: a magic matrix-based framework for tamper detection and image recovery
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168
Sensitivity Study of Feature Vectors Formed on the Basis of Multiple Scale Transformations of Processed Images
Published 2024-07-01“…To develop approaches for carrying out automatic selection of input data obtained from unmanned aerial vehicles in the form of photo and video images at the preliminary stage of image recognition.Materials and methods. …”
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169
An improved air conditioner label defect detection algorithm based on SURF features
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Dynamic force effects on germination characteristics and weight vigoure index of three chickpea cultivars (Cicer ariegtinum L.) seed by using image processing
Published 2017-05-01“…This shows the potential of replacement of time-consuming manual with image processing method for examination of seedling parameters…”
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172
A Multicriteria Evaluation of Single Underwater Image Improvement Algorithms
Published 2025-07-01“…In response to this issue, herein is presented a novel method built on multicriteria decision analysis that evaluates the processing time and feature point increase with respect to the original image. …”
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173
Estimation of the current of sharp purulent inflammatory processes by means of algorithms of the computer analysis of images
Published 2015-12-01“…The study describes the automatic algorithm for image analysis based on software Cellprofiler. For the main example of the principal implementation of the analysis process agar culture swabs of Staphylococcus aureus were taken. …”
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Algorithm of fire detection for multi-sensor system
Published 2021-11-01“…There are many algorithms for image processing, but algorithms that use several sources of information are not sufficiently developed and described. …”
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176
Advanced Color Edge Detection Using Clifford Algebra in Satellite Images
Published 2021-01-01“…Edge detection is widely used for image processing to improve the detection and classification of objects, segmentation, and extraction of other features. …”
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177
“BEST” Test – The game changer of noninvasive cardiac imaging
Published 2025-05-01“…Introduction: Advanced echocardiography should be accurate, versatile, comprehensive, and cost-effective that can be incorporated into daily clinical care. Methods: We randomly selected 156 two-dimensional (2D) echo subjects for “BEST Test” – To convert 2D to three-dimensional (3D) slice during offline process using specific steps. …”
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178
COMPLEXING IMAGES IN A TWO-CHANNEL OPTICAL-ELECTRONIC SYSTEM AS A METHOD OF REDUCING THE PROBABILITY OF DISAPPOINTING AN AUTOMATIC SURVEILLANCE OF LOW CONTRAST OBJECTS
Published 2019-12-01“…It is believed that the multi-spectral images of both channels are reduced to a single time and scale, which allows them to be integrated using various methods. …”
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179
On the integration of the methods of forming and research of images of objects against the background of noises and interference
Published 2020-04-01“…This article discusses the application of complex methods for detecting, recognizing, distinguishing borders and measuring various parameters of noisy, low-contrast, difficult-to-see images of space, air or ground objects. …”
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180
Image target importance recognition method based on visual model and correlation algorithm
Published 2025-07-01“…This deficiency limits the recognition accuracy in practical applications and affects the efficiency and precision of subsequent processing. This paper proposes a vision model-based approach for image object relevance analysis, aiming to evaluate inter-object correlations in images by integrating scene knowledge graphs with target relevance analysis.First, we systematically conduct ontological modeling of urban scenes to construct a cityscape knowledge graph. …”
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