Automated Segmentation and Object Classification of CT Images: Application to In Vivo Molecular Imaging of Avian Embryos by Alexander Heidrich, Jana Schmidt, Johannes Zimmermann, Hans Peter Saluz

“…For image segmentation, a rule set was developed using Definiens image analysis software. …”
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An Advanced Otsu Method Integrated with Edge Detection and Decision Tree for Crack Detection in Highway Transportation Infrastructure by Haihang Han, Hanyu Deng, Qiao Dong, Xingyu Gu, Tianjie Zhang, Yangyang Wang

“…In the traditional pavement image segmentation, due to the small area of the pavement cracks, the gray level of crack pixels only accounts for a very small portion in the grayscale histogram, making it difficult to segment. …”
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Retracted: Multi-Objective Optimization Algorithm and Preference Multi-Objective Decision-Making Based on Artificial Intelligence Biological Immune System by Juan Bao, Xiangyang Liu, Zhengtao Xiang, Gang Wei

“…This research introduces the multi-functional optimization algorithm of the biological immune system into the VR image segmentation, and proposes a multi-purpose VR image segmentation method with more stable and better segmentation performance. …”
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Monitoring Space Weather: Using Automated, Accurate Neural Network Based Whistler Segmentation for Whistler Inversion by Bálint Ármin Pataki, János Lichtenberger, Mark Clilverd, Gergely Máthé, Péter Steinbach, Szilárd Pásztor, Lilla Murár‐Juhász, Dávid Koronczay, Orsolya Ferencz, István Csabai

“…The variations match previously published findings, and confirm the capabilities of the image segmentation technique.…”
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A Multiresolution PDE-Based Deformable Surface for Medical Imaging Applications

“…In this paper, we demonstrate both the accuracy and robustness of our model on areas such as medical image segmentation through a number of experiments on both real (MRI/CT) and synthetic volumetric datasets.…”
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Comparison of Deep-Learning-Based Segmentation Models: Using Top View Person Images by Imran Ahmed, Misbah Ahmad, Fakhri Alam Khan, Muhammad Asif

“…Image segmentation is considered as a key research topic in the area of computer vision. …”
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RBMDC-Net: Effective Jaw Cyst Segmentation Network Using Residual Bottleneck and Multiscale Dilated Convolution by Huixia Zheng, Xiaoliang Jiang, Xu Xu, Zhenfei Yuan

“…To overcome these limitations, this paper proposes a U-shaped image segmentation network based on residual bottleneck and multiscale dilated convolution, called RBMDC-Net. …”
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A Systematic Review on the Advancement in the Study of Fuzzy Variational Problems by Mansi Verma, Chuei Yee Chen, Adem Kılıçman, Risman Mat Hasim

“…The study of fuzzy variational problems has received significant attention over the past decade due to its successful applications in numerous fields, such as image segmentation and optimal control theory. The fuzzy Euler-Lagrange equations provide the necessary optimality conditions for solving fuzzy variational problems explicitly and have been studied under several differentiability conditions. …”
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A Markov Random Field and Adaptive Regularization Embedded Level Set Segmentation Model Solving by Graph Cuts by Dengwei Wang

“…This paper presents a novel Markov random field (MRF) and adaptive regularization embedded level set model for robust image segmentation and uses graph cuts optimization to numerically solve it. …”
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3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images by Zhuliang Qian, Lifeng Xie, Yisheng Xu

“…In order to solve the problems of low efficiency and low accuracy of brain tumor segmentation, this paper proposes DL to conduct research on multimodal MRI image segmentation, aiming to make accurate diagnosis and treatment for doctors. …”
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Preliminary application of a cervical vertebra segmentation method based on Transformer and diffusion model for lateral cephalometric radiographs in orthodontic clinical practice by LIU Yang, WU Mengyi, HU Yao, QI Kun, WANG Yubin, ZHAO Yue, SONG Jinlin

“…Despite the longer processing time for a single image, segmentation accuracy was significantly improved. …”
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Peningkatan Performa Ensemble Learning pada Segmentasi Semantik Gambar dengan Teknik Oversampling untuk Class Imbalance by Arie Nugroho, M. Arief Soeleman, Ricardus Anggi Pramunendar, Affandy Affandy, Aris Nurhindarto

“…This research discusses how to improve the accuracy of image semantic segmentation in the ensemble learning method to deal with the problem of unbalanced data in image segmentation. The technique used is synthetic oversampling so as to produce balanced data and high accuracy. …”
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Improved Bat Algorithm Applied to Multilevel Image Thresholding by Adis Alihodzic, Milan Tuba

“…Multilevel image thresholding is a very important image processing technique that is used as a basis for image segmentation and further higher level processing. …”
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Automated Techniques for the Interpretation of Fetal Abnormalities: A Review by Vidhi Rawat, Alok Jain, Vibhakar Shrimali

“…Ultrasound (US) image segmentation methods, focusing on techniques developed for fetal biometric parameters and nuchal translucency, are briefly reviewed. …”
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An Improved C-V Model and Application to the Coal Rock Mesocrack Images by Yulong Chen, Hongwei Zhang

“…Studies have shown that, compared to the original C-V model, the improved model achieves better image segmentation effects and more accurate quantitative information about coal rock mesostructures for coal rock mesoimages with low contrast ratios and nonuniform grayscale, a fact showing that it can be applied to the calculation of coal rock permeability and damage factors.…”
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Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S. Jatti, Nitin K. Khedkar, Rahul B. Dhabale, Ashwini V. Jatti

“…In the present work, U-Net convolutional neural network is implemented on Jupyter platform by using Python programming for fracture surface image segmentation in Oil Hardening Non-Shrinking (OHNS) die steel after the machining process. …”
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Texture Detection of Aluminum Foil Based on Top-Hat Transformation and Connected Region Segmentation by Fei He, Yuxing Hu, Jian Wang

“…Top-hat transformation and image segmentation technology based on the connected domain are used to change the method of determining texture fraction by using human experience. …”
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Multitemporal observation of Karla reservoir in Thessaly Greece utilizing SAR and optical remotely sensing imagery by Triantafyllos FALARAS, Maria KOILAKOU, Leonidas TSOUKALAS

“…For SAR imagery an image segmentation method with a dynamic threshold operator based on mean values is utilized, while for optical imagery the Normalized Difference Water Index (NDWI) is applied. …”
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Using wavelet denoising and mathematical morphology in the segmentation technique applied to blood cells images by Macarena Boix, Begoña Cantó

“…Accurate image segmentation is used in medical diagnosis sincethis technique is a noninvasive pre-processing step for biomedicaltreatment. …”
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DAGAN: A Domain-Aware Method for Image-to-Image Translations by Xu Yin, Yan Li, Byeong-Seok Shin

“…Although this technique has been widely used for visual predication tasks—such as classification and image segmentation—and achieved great results, we still failed to perform flexible translations when attempting to learn different mappings, especially for images containing multiple instances. …”
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