-
1
A novel image retrieval based on rectangular spatial histograms of visual words
Published 2018-01-01Subjects: “…Bag-of-visual-words…”
Get full text
Article -
2
A Combination of SHA-256 and DES for Visual Data Protection
Published 2025-05-01“…This study employs SHA-256 and DES algorithms to safeguard visual data through encryption and decryption processes. …”
Get full text
Article -
3
-
4
Image Quality Enhancing by Efficient Histogram Equalization
Published 2014-10-01“…In the first level, Dualistic Sub-Image Histogram Equalization DSIHE method decomposes the original image into two sub-images based on median of original images. …”
Get full text
Article -
5
Adaptive Reversible Data Hiding Scheme Based on Novel Cascading Prediction Error Histogram Shifting Using Decimal Floating Stream
Published 2025-03-01Subjects: Get full text
Article -
6
OVERVIEW OF METHODS FOR IMPROVING THE VISUAL QUALITY OF IMAGES AND VIDEOS IN ADVERSE WEATHER CONDITIONS
Published 2023-01-01“…Conclusions are drawn about each of the types of algorithms.Conclusion The article explored various methods to improve the visual quality of images and videos in adverse weather conditions. …”
Get full text
Article -
7
ANALYSIS OF RON 92 OIL BASED ON MORPHOLOGY AND HISTOGRAM TECHNIQUES
Published 2025-04-01“…With the advancement of technology, digital imagery can be used to visualize oil samples and perform analysis quickly and accurately. …”
Get full text
Article -
8
Material Segmentation Using 1-D Convolutional Neural Network With Transient Histogram
Published 2025-01-01“…In a real-world experiment, 1-D CNN achieved an overall accuracy of 87.5% in differentiating visually similar materials, demonstrating the effectiveness of transient histograms for material classification where conventional RGB-based methods fail. …”
Get full text
Article -
9
Research on Finger image Enhancement Algorithm Based on Fusion Histogram Equalization and Homomorphic Filtering
Published 2019-12-01“…At the same time, the low frequency and high frequency components are separated, the high frequency filter is used to suppress the low frequency information, and then the histogram equalization algorithm is used to nonlinearly stretch the low frequency components of the image, and the pixel values of the image are redistributed to enhance the fog Image.Simulation used by Matlab,the comparison of visual effects and run time and information entropy shows that the improved algorithm is better than the result of the two algorithms alone.…”
Get full text
Article -
10
Dynamic Range Expansion Using Cumulative Histogram Learning for High Dynamic Range Image Generation
Published 2020-01-01“…The novel learning technique is called cumulative histogram-based learning and color difference learning. …”
Get full text
Article -
11
Mean Shift Fusion Color Histogram Algorithm for Nonrigid Complex Target Tracking in Sports Video
Published 2021-01-01“…Our results of nonrigid complex target tracking by mean shift fusion color histogram algorithm for sports video improve the accuracy by about 8% compared to other studies. …”
Get full text
Article -
12
Improving technetium-99m methylene diphosphonate bone scan images using histogram specification technique
Published 2020-07-01“…Visually, histogram of IBimproved statistically significantly higher proportion (P < 0.0001) of images (86/87) as compared to histogram of IA(51/87). …”
Get full text
Article -
13
Optimized exposer region-based modified adaptive histogram equalization method for contrast enhancement in CXR imaging
Published 2025-02-01“…Abstract In medical imaging, low-contrast chest X-ray (CXR) images may fail to provide adequate information for accurate visual interpretation and disease diagnosis. Conventional contrast enhancement techniques, such as histogram equalization, often introduce intensity shifts and loss of fine details. …”
Get full text
Article -
14
Deep combining of local phase quantization and histogram of oriented gradients for indoor positioning based on smartphone camera
Published 2017-01-01“…This feature is a local phase quantization of a salient histogram of oriented gradient visualizing image, which is robust in indoor scenarios. …”
Get full text
Article -
15
Groundnut (ARACHIS HYPOGAEA L.) seed defect classification using ensemble deep learning techniques
Published 2024-12-01Subjects: Get full text
Article -
16
-
17
A novel two-dimensional reversible data hiding scheme based on high-efficiency histogram shifting for JPEG images
Published 2022-03-01“…Therefore, we propose a two-dimensional histogram shifting-based reversible data hiding scheme in this article to improve the performance of marked JPEG images in terms of visual quality and file size. …”
Get full text
Article -
18
K-Means Clustering and Classification of Breast Cancer Images Using Histogram of Oriented Gradients Features and Convolutional Neural Network Models: Diagnostic Image Analysis Stud...
Published 2025-07-01“…The proposed hybrid method included three stages: (1) unsupervised clustering using K-means to group visually similar features; (2) feature extraction using Histogram of Oriented Gradients (HOG) to capture texture and shape patterns; and (3) classification using a CNN trained on the extracted features. …”
Get full text
Article -
19
Sometimes Your Eyes Do Not See
Published 2024-11-01“…Using a technique called "histogram of oriented gradients", Sometimes Your Eyes Do Not See explores the machinic gaze that increasingly permeates contemporary artistic practices and reflects on the ways it affects our perception of the world. …”
Get full text
Article -
20
Elastic regularization networks for enhanced UAV visual tracking
Published 2025-07-01“…During feature extraction, color name (CN) features are combined with lower-dimensional fast histogram of oriented gradient (fHOG) features to enrich sample information. …”
Get full text
Article