Research on Pork Cut and Freshness Determination Method Based on Computer Vision by Shihao Song, Qiqi Guo, Xiaosa Duan, Xiaojing Shi, Zhenyu Liu

“…These three parts were categorized into nine datasets, and the sample set was expanded through digital image processing techniques. Next, five convolutional neural network models—VGGNet, ResNet, DenseNet, MobileNet, and EfficientNet—were selected for feature recognition experiments. …”
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Morphometric analysis of internal auditory canal using CT imaging: An observational study in South Indian adult population by Judica Sheryl, Senthil Ganesh P. Kannappan

“…The present study attempts to measure the dimensions of the IAC using digital image processing to understand how anatomical variations may aid in surgical planning. …”
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Study on Mesoscopic Damage Evolution Characteristics of Single Joint Sandstone Based on Micro-CT Image and Fractal Theory by Hao Liu, Lulin Zheng, Yujun Zuo, Zhonghu Wu, Wenjibin Sun, Lujing Zheng, Chao Pan, Jianyun Lin, Zehua Zhu, Zhibin Hao

“…This study utilizes DIP (digital image processing) technology for characterizing the mesostructure of sandstone and combines DIP technology with RFPA2D. …”
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First Investigation of Long-Term Methane Emissions from Wastewater Treatment Using Satellite Remote Sensing by Seyed Mostafa Mehrdad, Bo Zhang, Wenqi Guo, Shan Du, Ke Du

“…Satellite images of a WWT plant in Calgary, Canada, taken between 2019 and 2023, were processed to retrieve CH₄ column concentration distributions. Digital image processing techniques were developed and used for extracting the time- and space-varying features of CH₄ emissions, which revealed daily, monthly, seasonal, and annual variations. …”
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FPGA‐Based Design of Ultra‐Efficient Approximate Adders for High‐Fidelity Image Processing: A Logic‐Optimized Approach by Ramakrishna Reddy Eamani, N. Vinodhkumar, Ambe Harrison, Wulfran Fendzi Mbasso

“…This work provides a compact, energy‐efficient design framework for digital image processing systems, therefore advancing the state of approximative arithmetic. …”
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Evaluation method of spatial distribution characteristics for asphalt mixture structure based on Sholl analysis by Tengjiang Yu, Ziqi Chen, Fushou Zhao, Xiangrui Ji, Haitao Zhang, Shengsheng Ma

“…Firstly, the spatial structure images of asphalt mixture specimen can be obtained through CT scanning test, and the independent void structure, mortar structure and aggregate structure have been obtained by combining digital image processing technology. Secondly, Sholl analysis was used to analyze different asphalt mixture structures and summarize their spatial distribution characteristics. …”
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The radial spreading of volcanic umbrella clouds deduced from satellite measurements by Fred Prata, Andrew T. Prata, Rebecca Tanner, Roy G. Grainger, Michael Borgas, Thomas J. Aubry

“…The umbrella cloud morphology is evaluated using digital image processing tools in a Lagrangian frame of reference. …”
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Comparison of MobilenetV2 and EfficiennetB3 Method to Classify Diseases on Corn Leaves by Riyadi Slamet, Mulya Rezka, Nabila Realisti Aulia

“…Manual disease identification on corn leaves has limitations in consistency and scalability. A digital image processing system is needed to increase the speed and accuracy of recognition. …”
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Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact by A. Canberk Ulusoy, Tuğçe Toprak, M. Alper Selver, Pelin Güneri, Betül İlhan

“…Abstract This study uses machine learning (ML) to elucidate the contact relationship between the mandibular third molar (M3M) and the inferior alveolar canal (IAC), leading to three major contributions; (1) The first publicly accessible PR image dataset with semantic annotations for 1,478 IACs and M3Ms from 1,010 patients is introduced, which includes challenging cases, such as false positive contacts, with CBCT images as the gold standard, (2) Established radiological indicators for M3M-IAC contact were extracted as features using digital image processing, and these features were used as inputs for various ML methods. …”
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Improving CT Image Analysis of Augmented Bone with Raman Spectroscopy by J. Charwat-Pessler, M. Musso, K. Entacher, B. Plank, P. Schuller-Götzburg, S. Tangl, A. Petutschnigg

“…Thereby, the image data were compared by means of regression analysis and digital image processing methods. It could be found that 51.8% of the variance of gray level intensities, as a result of μ-CT, can be described by different Raman spectra of particular interest for bone composition studies by means of a multiple linear regression. …”
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Geospatial analysis of landslide susceptibility and safe relocation zones: Insights from recent disasters in Gofa Zone, Southern Ethiopia by Natnael Agegnehu Ayele, Esubalew Mulugeta Engda, Taye Teshome Terefe, Eyasu Leta, Talema Moged Reda, Muralitharan Jothimani

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Classification of Structural and Functional Development Stage of Cardiomyocytes Using Machine Learning Techniques by V. R. Bondarev, K. O. Ivanko, N. G. Ivanushkina

“… The study is dedicated to the problem of classification of structural and functional development stage of cardiomyocytes derived from the induced pluripotent stem cells with application of the digital image processing methods and machine learning algorithms, in particular, neural networks. …”
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Leveraging deep learning for plant disease and pest detection: a comprehensive review and future directions by Muhammad Shoaib, Abolghasem Sadeghi-Niaraki, Farman Ali, Irfan Hussain, Shah Khalid

“…Plant diseases and pests pose significant threats to crop yield and quality, prompting the exploration of digital image processing techniques for their detection. Recent advancements in deep learning models have shown remarkable progress in this domain, outperforming traditional methods across various fronts including classification, detection, and segmentation networks. …”
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Peningkatan Akurasi Deteksi Tepi Pada Citra Inversi Menggunakan Sobel-Canny-Prewitt by Andriana Herlambang, Alam Rahmatulloh

“… Digital Image Processing (DIP) merupakan sebuah teknologi yang biasa digunakan dalam meningkatkan hasil kualitas citra serta proses identifikasi citra guna memperkaya informasi yang berasal dari citra. …”
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Identification of Eye Diseases Through Deep Learning by Elena Acevedo, Dinora Orantes, Marco Acevedo, Ricardo Carreño

“…<b>Methods</b>: This work describes digital image processing techniques for the easier handling of eye images; in particular, blur filters were used. …”
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SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention by Xiyin Chen, Yonghua Shi, Junjie Pang

“…Traditional methods, including digital image processing techniques have limitations in complex environments. …”
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Characteristics of the expression level of E-Cadherin and ß-Catenin in hepatocellular and cholangiocellular liver carcinoma by M. D. Zubko

“…The level of expression of immunohistochemical markers of tumor cells and immunopositive tumor cells area were determined by photo digital morphometry in digital image processing program Image J. It was found that in 63,64% of patients with HCC and 100% of patients with CCC, liver cancer cells show membrane or membrane-cytoplasmic expression of E-cadherin. …”
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Formation of the pediatric electroretinogram database parameters for the development of doctor’s decisionmaking algorithm by A. E. Zhdanov, A. Yu. Dolganov, V. N. Kazaykin, V. I. Borisov, V. O. Ponomarev, L. G. Dorosinsky, A. V. Lizunov, E. Luchian, X. Bao

“…The signal parameters were obtained by extracting the parameters from the wavelet scalogram of the electroretinogram signal using digital image processing and machine learning methods.…”
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Canned Apple Fruit Freshness Detection Using Hybrid Convolutional Neural Network and Transfer Learning by Mudasar Iqbal, Syed Tahseen Haider, Rana Saud Shoukat, Saif Ur Rehman, Khalid Mahmood, Santos Gracia Villar, Luis Alonso Dzul Lopez, Imran Ashraf

“…This study aims to grade the freshness level of canned apple fruits by combining digital image processing and machine learning techniques. The proposed technique involves data collection of apple fruit, image segmentation, and preprocessing, creating the neural network model, training the network model, and testing for apple freshness prediction. …”
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La huella de contacto entre flancos como indicador de la precisión de la transmisión por engranaje de tornillo sinfín. // The tooth contact pattern as indicator of the cylindrical... by G. Rivero Llerena, R. Rivero Galán, J. L. Placencia González

“…It can be appreciated that digital image processing of tooth<br />contact pattern give the possibility of state gear quality features</p><p><br />Key words: Worm gear, accuracy, tooth contact patter.…”
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