Search Results - image processing methods

Estimation of Tomato Quality During Storage by Means of Image Analysis, Instrumental Analytical Methods, and Statistical Approaches by Paris Christodoulou, Eftichia Kritsi, Georgia Ladika, Panagiota Tsafou, Kostantinos Tsiantas, Thalia Tsiaka, Panagiotis Zoumpoulakis, Dionisis Cavouras, Vassilia J. Sinanoglou

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Active Contours Connected Component Analysis Segmentation Method of Cancerous Lesions in Unsupervised Breast Histology Images by Vincent Majanga, Ernest Mnkandla, Zenghui Wang, Donatien Koulla Moulla

“…Initially, this approach prepares and pre-processes data through various augmentation methods to increase the dataset size. …”
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Radiology methods of the sarcopenia diagnosis by V. L. Masenko, A. N. Kokov, I. I. Grigoreva, K. E. Krivoshapova

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Implementation of a Conditional Latent Diffusion-Based Generative Model to Synthetically Create Unlabeled Histopathological Images by Mahfujul Islam Rumman, Naoaki Ono, Kenoki Ohuchida, Ahmad Kamal Nasution, Muhammad Alqaaf, Md. Altaf-Ul-Amin, Shigehiko Kanaya

“…To enhance the interpretability of the synthetic image generation process, expert input was incorporated into the cluster assignments.…”
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Artificial Neural Networks for Image Processing in Precision Agriculture: A Systematic Literature Review on Mango, Apple, Lemon, and Coffee Crops by Christian Unigarro, Jorge Hernandez, Hector Florez

“…Additionally, it discusses the integration of hardware and software, image preprocessing methods, and evaluation metrics commonly employed. …”
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A Microwave Vision-Enhanced Environmental Perception Method for the Visual Navigation of UAVs by Rui Li, Dewei Wu, Peiran Li, Chenhao Zhao, Jingyi Zhang, Jing He

“…To address this challenge, this paper introduces microwave vision to assist optical vision for environmental measurement and proposes a novel microwave vision-enhanced environmental perception method. In particular, the richness of perceived environmental information can be enhanced by SAR and optical image fusion processing in the case of sufficient light and clear weather. …”
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An Optimal 3D Visualization Method for Integral Imaging Optical Display Systems Using Depth Rescaling and Field-of-View Resizing by Xin Shen, Nathan Green, Vanden Haviland

“…The proposed approach computationally scales the captured scene nonuniformly across three dimensions, integrating a depth scaling process and a scene resizing process. By generating synthetic 2D elemental images tailored to a specific 3D display system, the proposed method can enhance depth accuracy and display adaptability. …”
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Identification of Nanoparticle Agglomeration in Polymer Plates Reinforced with Carbon Nanotubes by Use of Active Thermography and Deep Learning-Based Image Processing by Mazharul Islam, Raihan Sarker

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HandSnap++: An Android Application for Debugging Handwritten C++ Code using Image Processing through Optical Character Recognition and Compiler by Arias, Clarq Anderson P, Miranda, Stephen Felipin S, Paguinto, Juliana Arla S, Pangkubit, Rhea Joy M

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Intravascular visualization methods in estimating vasculopathy of a transplanted heart by S. A. Sakhovsky, N. N. Koloskova, A. Yu. Goncharova, B. L. Mironkov

“…This review focuses on the importance of modern methods of intravascular imaging in the early diagnosis of cardiac graft vasculopathy and the identification of predictors of this disease.…”
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Dual-Mode Method for Generating Adversarial Examples to Attack Deep Neural Networks by Hyun Kwon, Sunghwan Kim

“…Deep neural networks yield desirable performance in text, image, and speech classification. However, these networks are vulnerable to adversarial examples. …”
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A Novel Connected-Components Algorithm for 2D Binarized Images by Costin-Anton Boiangiu, Giorgiana-Violeta Vlăsceanu, Constantin-Eduard Stăniloiu, Nicolae Tarbă, Mihai-Lucian Voncilă

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Evaluating the Efficiency of Work of the Department of Computed Tomography and Magnetic Resonance Imaging by K. K. Osadchiy, E. A. Mershina, A. E. Bragina, V. E. Sinitsyn

“…Objectives. (1) To evaluate the efficiency of work of the Department of Computed Tomography (CT) and Magnetic Resonance Imaging (MRI); (2) to study of its work processes; and (3) to elaborate recommendations for their optimization.Material and methods. …”
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Comparative evaluation and comparability of satellite and airborne data on the ice content of the Sea of Okhotsk by V. A. Romanyuk, G. G. Zhuravlev

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Automation of Multi-Class Microscopy Image Classification Based on the Microorganisms Taxonomic Features Extraction by Aleksei Samarin, Alexander Savelev, Aleksei Toropov, Aleksandra Dozortseva, Egor Kotenko, Artem Nazarenko, Alexander Motyko, Galiya Narova, Elena Mikhailova, Valentin Malykh

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Comparison of Directional and Diffused Lighting for Pixel-Level Segmentation of Concrete Cracks by Hamish Dow, Marcus Perry, Jack McAlorum, Sanjeetha Pennada

“…A novel directional lighting image segmentation algorithm is proposed, which applies crack segmentation image processing techniques to each directionally lit image before combining all images into a single output, highlighting the extremities of the defect. …”
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Comparison of Recognition Techniques to Classify Wear Particle Texture by Mohammad Laghari, Ahmed Hassan, Mahmoud Haggag, Addy Wahyudie, Motaz Tayfor, Abdallah Elsayed

“…This study proposes an automated framework to classify four standard wear particle textures—rough, striated, pitted, and fatigued—using artificial neural networks (ANNs) combined with advanced image processing techniques. Images acquired via Charged-Coupled Device (CCD) microscopy were preprocessed using sharpening, histogram stretching, and four edge detection algorithms: Sobel, Laplacian, Boie–Cox, and Canny. …”
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Visual Detection on Aircraft Wing Icing Process Using a Lightweight Deep Learning Model by Yang Yan, Chao Tang, Jirong Huang, Zhixiong Cen, Zonghong Xie

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A Dual-Stream Dental Panoramic X-Ray Image Segmentation Method Based on Transformer Heterogeneous Feature Complementation by Tian Ma, Jiahui Li, Zhenrui Dang, Yawen Li, Yuancheng Li

“…Experimental results demonstrate that the proposed method achieves an IoU of 91.49% and a Dice coefficient of 94.54%, outperforming current segmentation methods across multiple evaluation metrics.…”
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GDFC-YOLO: An Efficient Perception Detection Model for Precise Wheat Disease Recognition by Jiawei Qian, Chenxu Dai, Zhanlin Ji, Jinyun Liu

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