Water Classification Using Convolutional Neural Network by Saira Asghar, Ghulam Gilanie, Mubbashar Saddique, Hafeez Ullah, Heba G. Mohamed, Irshad Ahmed Abbasi, Mohamed Abbas

“…The various image enhancement techniques, i.e., Unsharp Masking (UM), Histogram Equalization (HE), Contrast Limited Adaptive Histogram Equalization (CLAHE), and Contrast Stretching, were used to highlight the contrast and texture features of water images. …”
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Multi scale supervised entropy weighted binary pattern for texture classification by Xiaochun Xu, Bin Li

“…Abstract Texture is a crucial visual and sensory attribute in understanding the world. …”
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Robust Image Population Based Stain Color Normalization: How Many Reference Slides Are Enough? by Jose L. Agraz, Caleb M. Grenko, Andrew A. Chen, Angela N. Viaene, MacLean D. Nasrallah, Sarthak Pati, Tahsin Kurc, Joel Saltz, Michael D. Feldman, Hamed Akbari, Parth Sharma, Russell T. Shinohara, Spyridon Bakas

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Tracking of magnetite labeled nanoparticles in the rat brain using MRI. by Naira P Martínez Vera, Reinhold Schmidt, Klaus Langer, Iavor Zlatev, Robert Wronski, Ewald Auer, Daniel Havas, Manfred Windisch, Hagen von Briesen, Sylvia Wagner, Julia Stab, Motti Deutsch, Claus Pietrzik, Franz Fazekas, Stefan Ropele

“…Following intravenous injection of MLNPs, a visible MLNP uptake was seen in the liver and spleen while no visual effect was seen in the brain. However a histogram analysis of T1 changes in the brain demonstrated global and diffuse presence of MLNPs. …”
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Real-Time Tracking by Double Templates Matching Based on Timed Motion History Image with HSV Feature by Zhiyong Li, Pengfei Li, Xiaoping Yu, Mervat Hashem

“…This study presents a novel method with appearance model described by double templates based on timed motion history image with HSV color histogram feature (tMHI-HSV). The main components include offline template and online template initialization, tMHI-HSV-based candidate patches feature histograms calculation, double templates matching (DTM) for object location, and templates updating. …”
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Klasifikasi Mahasiswa HER Berbasis Algoritma SVM dan Decision Tree by Jajang Jaya Purnama, Hendri Mahmud Nawawi, Susy Rosyida, Ridwansyah Ridwansyah, Risnandar Risnandar

“…Data classification of students who do remedial/improvements by improving the kernel model for visualization including bars, histograms, and distributions as well as the Decision Tree has its own advantages. …”
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Eye in the Sky for Sub-Tidal Seagrass Mapping: Leveraging Unsupervised Domain Adaptation with SegFormer for Multi-Source and Multi-Resolution Aerial Imagery by Satish Pawar, Aris Thomasberger, Stefan Hein Bengtson, Malte Pedersen, Karen Timmermann

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Confocal 3D DNA Cytometry: Assessment of Required Coefficient of Variation by Computer Simulation by Lennert S. Ploeger, Jeroen A.M. Beliën, Neal M. Poulin, William Grizzle, Paul J. van Diest

“…By visual inspection, the histogram quality with respect to resolution of G0/1 and G2/M peaks of a diploid stemline was assessed. …”
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Duck Egg Crack Detection Using an Adaptive CNN Ensemble with Multi-Light Channels and Image Processing by Vasutorn Chaowalittawin, Woranidtha Krungseanmuang, Posathip Sathaporn, Boonchana Purahong

“…To enhance image quality prior to model training, several image pre-processing techniques were applied, including normalization, histogram equalization (HE), and contrast-limited adaptive histogram equalization (CLAHE). …”
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Novel Image Encryption Scheme Based on Chebyshev Polynomial and Duffing Map by Borislav Stoyanov, Krasimir Kordov

“…Comprehensive security analysis has been performed on the designed scheme using key space analysis, visual testing, histogram analysis, information entropy calculation, correlation coefficient analysis, differential analysis, key sensitivity test, and speed test. …”
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Semantic-Aware Low-Light Image Enhancement by Learning from Multiple Color Spaces by Bo Jiang, Xuefei Wang, Naidi Yang, Yuhan Liu, Xi Chen, Qiwen Wu

“…Furthermore, we improve the semantic-guided color histogram loss by leveraging multi-color space constraints. …”
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Temu Kembali Citra Tenun Nusa Tenggara Timur menggunakan Esktraksi Fitur yang Robust terhadap Perubahan Skala, Rotasi, dan Pencahayaan by Budiman Baso, Nanik Suciati

“…BoVW dibangun menggunakan K-Means untuk menghasilkan visual vocabulary dari keypoints pada seluruh citra training. …”
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RSCUcaller: an R package for analyzing differences in relative synonymous codon usage (RSCU) by Mateusz Maździarz, Sebastian Zając, Łukasz Paukszto, Jakub Sawicki

“…The package enables both visualization of data and the performance of advanced statistical analyses. …”
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Adaptive Contrast Enhancement for Digital Radiographic Images using Image-to-Image Translation by Popp Ann-Kathrin, Schumacher Mona, Himstedt Marian

“…Compared to the pix2pix network, the ccpix2pix reduces the mean squared error by a factor of six and achieves an improvement of approximately seven percentage points based on the histogram intersection of source and target images.…”
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Research on Clothing Image Database Retrieval Algorithm Based on Wavelet Transform by Xiaoyue Cui

“…Firstly, it represents the color consistency vector of clothing image, reflects the composition and distribution of image color through color histogram, quantifies the visual features of clothing image, aggregates them into a fixed size representation vector, and uses the Fair Value (FV) model to complete the collection of clothing image data. …”
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Heart rate variability: a practical review for the beginner by Ștefan-Claudiu MIRESCU, Andreea Loredana CIOCOIU, Leontin DAVID, Corneliu TARBA

“…HRV can be evaluated by visual methods (the beat-to-beat tachogram, the histogram and the Poincaré diagram) or by statistically computed parameters. …”
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Infrared Small Target Detection, High-Precision Localization and Segmentation: Using TDU Kernel by C. Ding, S. Chen, H. Liu, Z. Luo, J. Zhang

“…At last, the separated local histogram is used to segment the target by per-pixel with suitable threshold. …”
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Large-Scale Image Retrieval of Tourist Attractions Based on Multiple Linear Regression Equations by Yinping Song

“…The BOF model is borrowed from the method for text retrieval, which generally extracts the local features of an image by the scale-invariant feature transform algorithm and clusters them using k-means to obtain a low-dimensional visual dictionary and characterizes the image features with a histogram vector based on the visual dictionary. …”
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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…The results presented cartographic layouts of qualitative and quantitative maps with statistical summaries (histograms). The novelty of this approach is explained by the need to close a technical gap between the traditional GIS and scripting mapping, which is wider for big data mapping and where the crucial factors are speed and precision of data handling, as well as effective visualization achieved by the machine graphics. …”
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Big Earth data processing using machine learning for integrated mapping of the dead sea fault, Jordan by Polina Lemenkova

“…The results presented cartographic layouts of qualitative and quantitative maps with statistical summaries (histograms). The novelty of this approach is explained by the need to close a technical gap between the traditional GIS and scripting mapping, which is wider for big data mapping and where the crucial factors are speed and precision of data handling, as well as effective visualization achieved by the machine graphics. …”
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