Search Results - image processing methods

Identification of Computer Editing in Electronic Images of Documents as a Task of Forensic Examination by A. F. Kupin, A. S. Kovalenko

“…The article considers a number of theoretical and applied issues related to forensic examination of electronic images of documents and in particular:- comparative analysis of normative legal acts carried out with regard to regulation of certain aspects of the activities in terms of electronic images of documents’ application;- indication of differences between electronic documents and electronic images of documents;- formulation of definition of the electronic image of the document computer editing;- description of factors affecting the possibility for identification of computer editing of document electronic images as a means of document forgery;- description of the most typical file formats used for storing, processing and transferring electronic images of documents; examination efficiency demonstration of certain methods and tools by means of the file formate examples in terms of identifying the features that indicate the actions performed on electronic images of documents;- characteristic of the operation principle and functional specifics of Grayscale, RGB and Lab color models used when working with electronic images of documents; capabilities demonstration of each one of them with specific reference;- determination of sequencing and limitations of solving the expert task targeted at fact finding of computer editing of document electronic images and its specific…”
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OOPS: Object-Oriented Polarization Software for analysis of fluorescence polarization microscopy images. by William F Dean, Tomasz J Nawara, Rose M Albert, Alexa L Mattheyses

“…However, the extensive image processing and analysis required to interpret the data have limited its widespread adoption. …”
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Image segmentation with a multilevel threshold using backtracking search optimization algorithm by Hather Ibraheem Abed

“… Image segmentation is an important process in image processing. …”
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A Review of Image- and LiDAR-Based Mapping of Shallow Water Scenarios by Paulina Kujawa, Fabio Remondino

“…The paper focuses on three survey technologies, Unmanned Aerial Systems (UASs), Airborne Bathymetry (AB), and Satellite-Derived Bathymetry (SDB), with multimedia photogrammetry and LiDAR-based approaches as processing methods. The most popular and/or state-of-the-art image and LiDAR data correction techniques are characterized. …”
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Enhancing Real Estate Listings Through Image Classification and Enhancement: A Comparative Study by Eyüp Tolunay Küp, Melih Sözdinler, Ali Hakan Işık, Yalçın Doksanbir, Gökhan Akpınar

“…This method assessed the impact of improved image quality on classification accuracy and the overall attractiveness of property listings. …”
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Retrieving Encrypted Images Using Convolution Neural Network and Fully Homomorphic Encryption by Emad M. Alsaedi, Alaa kadhim Farhan

“…However, the CBIR process suffers from less accuracy to retrieve images from an extensive image database and ensure the privacy of images. …”
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The Morphological Description Automation of the Optic Nerve Head Boundary in Digital Fundus Images by E. G. Tanaeva, R. G. Khafizov

“…Conclusions. Тhe presented method can be used to create expert systems which allow to automate the process of morphological description of the optic nerve head border from the fundus images and also can partially solve the diagnostic problem. …”
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Effect of Isocenter Placement at Nasion and Symphysis Menti on the Quality of MRI Images in Cases of Nasopharyngeal Cancer by Nurbaiti Nurbaiti, Thifal Humaira Zola

“…Magnetic Resonance Imaging (MRI) examinations require precise placement of the isocenter as it directly influences the quality of MRI images. …”
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VHR Multispectral Satellite Image Classification with Kolmogorov-Arnold Networks for Urban Applications by M. Fawzy, M. Fawzy, Á. Barsi

“…KAN's performance is validated using ground-truth data collected from field surveys or random reference points visually picked from images. Additionally, KAN is benchmarked against other methods like traditional Shallow Neural Networks (SNNs). …”
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Hyperspectral image super-resolution via joint network with spectral-spatial strategy by Yaxin Dong, Bo Yang, Cong Liu, Zemin Geng, Taiping Wang

“…Hyperspectral image (HSI) super-resolution (SR) faces significant challenges due to the inherent difficulty in acquiring large-scale training data and the complex spectral-spatial relationships in HSIs that conventional deep-learning-based methods often fail to fully exploit. …”
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Color assessment of resin composite by using cellphone images compared with a spectrophotometer by Rafaella Mariana Fontes de Bragança, Rafael Ratto Moraes, André Luis Faria-e-Silva

“…The color of the specimens was measured in the images using RGB system and converted to CIELab system using image processing software. …”
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P-CNN: Percept-CNN for semantic segmentation by Deepak Hegde, G. N. Balaji

“…Convolutional Neural Networks (CNNs) have achieved significant success in this field, yet there are some limitations in the conventional approach. The process of accurate, pixel-wise image annotation is time-consuming, as well as requires more human effort. …”
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Topographic anatomy of the ascending and descending colons of children and adolescents according to intravital imaging by A. S. Lozinskiy, S. V. Chemezov

“…The aim of the study was to establish the age and sex patterns of the topography of the ascending and descending colons of children and adolescents according to intravital imaging data. Material and methods. Computed tomograms of the abdomen of 88 children and adolescents without visible abdominal organs pathology were analyzed. …”
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Two-Step CNN Framework for Text Line Recognition in Camera-Captured Images by Yulia S. Chernyshova, Alexander V. Sheshkus, Vladimir V. Arlazarov

“…Thus, the proposed solution is based on two separate artificial neural networks (ANN) and dynamic programming instead of employing image processing methods for the segmentation step or end-to-end ANN. …”
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Justification of Image Format Structure for Solving Pattern Recognition Problems in Environmental Monitoring by D. V. Vasilieva, S. V. Dvornikov, S. S. Dvornikov

“…Raster images were processed using a specialized software application. …”
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Adaptive Taylor Kolmogorov–Arnold Network for Hyperspectral Image Classification by Yichen Liu, Xin Zhang, Zitong Zhang, Hanlin Feng

“…Traditional deep learning models for hyperspectral image (HSI) classification are limited by static activation functions and linear weights, hindering the extraction of complex features effectively. …”
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Retinex-Net mine image enhancement algorithm based on adaptive illumination estimation by Feng TIAN, Tingting CHEN, Xiaopei LIU

“…It is therefore of great significance to study image enhancement methods in underground coal mines. …”
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Expert assessment method in foresight studies by O. I. Karasev, E. I. Mukanina

“…The main goal of this research is to identify key aspects of expert assessments and offer high-quality recommendations for their improvement.Materials and methods. Foresight is built on the basis of expert assessment method, includes: active formation of the image of the future instead of its probabilistic prediction, focus on identifying key development priorities, participation in the study of key stakeholders, the relationship with the management decision-making process. …”
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EVALUATION OF THE ACTIVITIES OF AGRICULTURAL PRODUCTS PROCESSING ENTERPRISES IN AZERBAIJAN AND DIRECTIONS OF THEIR DEVELOPMENT by Shohrat İzzat Aliyeva, Zulfiya Mirza Gasimova, Sadagat Yusup Aliyeva, Hijran Rafig Kocharli

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Single Infrared Image Stripe Noise Removal Using Deep Convolutional Networks by Xiaodong Kuang, Xiubao Sui, Qian Chen, Guohua Gu

“…In this paper, we present a deep learning method for single infrared image stripe noise removal. …”
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