IDENTIFIKASI CITRA UKIRAN ORNAMEN TRADISIONAL BALI DENGAN METODE MULTILAYER PERCEPTRON by I Gede Rusdy Mahayana Putra, Made Windu Antara Kesiman, Gede Aditra Pradnyana, I Made Dendi Maysanjaya

“…In the implementation using digital image processing technic with Multilayer Perceptron method was based on backpropagation learning algorithm with 10560 neuron input layers, 50 neuron hidden layers, and 18 neuron output layers as classifier obtained the accuracy for testing is 43%. …”
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Fast segment anything model applied in a low-cost camera-based system for oyster growth monitoring by Vinícius Batista, Vitorino Biazi, Andreia C. M. Rodrigues, Amadeu M. V. M. Soares, Carlos Marques

“…The fast segment anything model algorithm is implemented in the Python programming language to perform image segmentation and generate object masks for subsequent processing. …”
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Enabling data-driven design of block copolymer self-assembly by Chiara Magosso, Irdi Murataj, Michele Perego, Gabriele Seguini, Debra J. Audus, Gianluca Milano, Federico Ferrarese Lupi

“…This database follows the digital International System of Units principles and is complemented by a graphical user interface for process metadata insertion and an automated algorithm for image analysis to retrieve structural properties of the nanostructures. …”
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Land Use Analysis Using Machine-Learning Based on Cloud Computing Platform by Syukur Toha Prasetyo, Fahmi Arief Rahman, Sinar Suryawati, Slamet Supriyadi, Eko Setiawan

“…The data utilized were the administrative boundaries of Bangkalan Regency (1:25,000) and Landsat 8 SR L2 C2 T1 satellite images from 2022. Satellite image analysis using the Random Forest algorithm on the GEE platform with the JavaScript API, including masking, cloud masking, class and sampling, training, and testing sample data. …”
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AUTOMATED DETERMINATION OF THE CRYSTALS SIZE IN ELECTRODEPOSITED METAL MATERIALS by E. V. Kolesnik

“…Methods of automated determination of the crystals size in the electrodeposited metal materials including digital processing of the electronicand microscopic image of the structure with sequential use of the low-and-high-leaky filter based on fast transformation of Fourier, Watershed-algorithm and decomposing of Voronoj with further measurement of thr crystal size with one of the traditional methods is offered.…”
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geeSSEBI: Evaluating Actual Evapotranspiration Estimated with a Google Earth Engine Implementation of S-SEBI by Jerzy Piotr Kabala, Jose Antonio Sobrino, Virginia Crisafulli, Dražen Skoković, Giovanna Battipaglia

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A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching by Jose Moises Araya-Martinez, Jose Moises Araya-Martinez, Vinicius Soares Matthiesen, Vinicius Soares Matthiesen, Simon Bøgh, Jens Lambrecht, Rui Pimentel de Figueiredo

“…In this study, we propose a template-based matching algorithm that utilizes a novel perceptual hashing method for binary images, enabling fast and robust pose estimation. …”
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Optimization of the Canopy Three-Dimensional Reconstruction Method for Intercropped Soybeans and Early Yield Prediction by Xiuni Li, Menggen Chen, Shuyuan He, Xiangyao Xu, Panxia Shao, Yahan Su, Lingxiao He, Jia Qiao, Mei Xu, Yao Zhao, Wenyu Yang, Wouter H. Maes, Weiguo Liu

“…To achieve this, we optimized image acquisition protocols by testing four imaging angles (15°, 30°, 45°, and 60°), four plant rotation speeds (0.8 rpm, 1.0 rpm, 1.2 rpm, and 1.4 rpm), and four image acquisition counts (24, 36, 48, and 72 images). …”
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Optimal surface defect detector design based on deep learning for 3D geometry by Sangmin Suh

“…Therefore, the use of automatic inspection equipment for steel surfaces is essential. Initially, image-processing methods were used, but with recent advances in deep learning, deep-learning-based methods are also being applied in this field. …”
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Concrete Crack Skeleton Analysis: A Machine Vision Approach to Feature Extraction by Rui Wang, Xinxin Guo, Jiaxuan Liu, Yu Wan

“…Therefore, a feature extraction method based on inflection point recognition of concrete surface crack skeleton is proposed in this paper. The main processing steps include image preprocessing, crack skeleton extraction, and inflection point recognition. …”
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Automating attendance management in human resources: A design science approach using computer vision and facial recognition by Bao-Thien Nguyen-Tat, Minh-Quoc Bui, Vuong M. Ngo

“…Unlike Deep Learning algorithms, which typically require significant resources and expensive computing costs, it uses simple image processing techniques like edge detection and Haar features that are easy to comprehend and implement. …”
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Deep learning-based framework for Mycobacterium tuberculosis bacterial growth detection for antimicrobial susceptibility testing by Hoang-Anh T. Vo, Sang Nguyen, Ai-Quynh T. Tran, Han Nguyen, Hai Bich Ho, Philip W. Fowler, Timothy M. Walker, Thuy Thi Nguyen

“…Automated Mycobacterial Growth Detection Algorithm (AMyGDA) is a software package that uses image processing techniques to read plates, but struggles with plates that exhibit low growth or images of low quality. …”
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ANALISIS OF THE INFLUENCE OF THE MAIN PARAMETERS AND CONDITION OF WORK OF AIRCRAFT CESN ON THE EFFICENCY OF THEIR USE METHODS OF MATHEMATICAL MODELING by V. I. Troitsky

“…The aim of the numerical experiments was the analysis of the influence of the main parameters (characteristics of the radiometer and antenna, a means of reviewing the space, parameters of the current image and the reference image, methods for image processing (algorithms for image correlation), conditions of the equipment operation (the speed and altitude of aircraft, the evolution of media) on the efficiency of CESN. …”
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Tongue Color Analysis and Diseases Detection Based on a Computer Vision System by Abdulghafor Khudhaer Abdullah, Saleem Lateef Mohammed, Ali Al-Naji, Mohammed Sameer Alsabah

“…Quantitative diagnosis of the tongue requires some devices, including image acquisition devices such as cameras, light sources, filters, color checkers, image analysis and processing devices through the application of some algorithms or image processing and color correction software, as well as a computer. …”
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Advanced Cotton Boll Segmentation, Detection, and Counting Using Multi-Level Thresholding Optimized with an Anchor-Free Compact Central Attention Network Model by Arathi Bairi, Uma N. Dulhare

“…Initially, data were gathered from the dataset, and a pre-processing stage was performed to enhance image quality. …”
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Defect detection in textiles using back propagation neural classifier by Subrata Das, Amitabh Wahi, Suresh Jayaram

“…The features were extracted from each grey scale image and stored in a database. In the second phase a neural classifier was trained with back-propagation neural Network (BPNN) algorithm on the training dataset. …”
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RETRACTED ARTICLE: A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications by Hadi Hashemzadeh, Seyedehsamaneh Shojaeilangari, Abdollah Allahverdi, Mario Rothbauer, Peter Ertl, Hossein Naderi-Manesh

“…The rapid development of machine learning techniques, especially deep learning algorithms, has attracted much interest in its application to medical image problems. …”
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A Neural-Network-Based Approach to White Blood Cell Classification by Mu-Chun Su, Chun-Yen Cheng, Pa-Chun Wang

“…We propose a new segmentation algorithm for the segmentation of white blood cells from smear images. …”
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Artificial Intelligent Techniques with Watermarking by Nada Saleem, Baydaa Khaleel, Shahbaa Khaleel

“…The second developed <em>(RBFW)</em> algorithm used <em>RBF</em> neural network for embedding and extracting of watermark based on intensity of whole image. …”
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MIMO High Frequency Surface Wave Radar Using Sparse Frequency FMCW Signals by Mengguan Pan, Baixiao Chen

“…Therefore, we introduce the iterative adaptive approach (IAA) in the range-azimuth imaging. Based on the initial 1D IAA algorithm, we propose a modified 2D IAA which particularly fits the deramping processing based range-azimuth model. …”
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