Showing 1-25 of 42,815 resultsfor "Index Terms":Image Histogram
"Index Terms":Image Histogram
- Sort
Get notified when new research is published matching your search criteria.
Sort By
Results
A Novel 3-D Color Histogram Equalization Method With Uniform 1-D Gray Scale Histogram
The majority of color histogram equalization methods do not yield uniform histogram in gray scale. After converting a color histogram equalized image into gray scale, the contrast of the converted image is worse than that of an 1-D gray scale histogram equalized image. We propose a novel 3-D color histogram equalization method that produces uniform distribution in gray scale histogram by defining ...Show More
Multiresolution histograms and their use for recognition
The histogram of image intensities is used extensively for recognition and for retrieval of images and video from visual databases. A single image histogram, however, suffers from the inability to encode spatial image variation. An obvious way to extend this feature is to compute the histograms of multiple resolutions of an image to form a multiresolution histogram. The multiresolution histogram s...Show More
Digital Image Enhancement in Matlab: An Overview on Histogram Equalization and Specification
Rezoana Bente Arif;Mohammad Mahmudur Rahman Khan;Md. Abu Bakr Siddique
2018 International Conference on Innovation in Engineering and Technology (ICIET)
Year: 2018 | Conference Paper |
Cited by: Papers (4)
This paper has two major parts. In the first part histogram equalization for the image enhancement was implemented without using the built-in function in MATLAB. Here, at first, a color image of a rat was chosen and the image was transformed into a grayscale image. After this conversion, histogram equalization was implemented on the grayscale image. Later on, in the same image for each RGB channel...Show More
A Comparison of Image Enhancement Methods for Lumbar Spine X-ray Image
2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
Year: 2018 | Conference Paper |
Cited by: Papers (13)
A preprocessing technique is an essential in image processing. It enhances details of the image including edges before continuing further image processing. In this work, we compare three image enhancement methods for improving the contrast and details of the X-ray images that are needed for medical diagnosis subsequently. The image enhancement methods including Brightness Preserving Dynamic Fuzzy ...Show More
Hue preserving color image enhancement using guided filter based sub image histogram equalization
2016 Ninth International Conference on Contemporary Computing (IC3)
Year: 2016 | Conference Paper |
Cited by: Papers (3)
The images, captured by camera, might suffer from poor contrast, saturation artefacts or improper brightness. Hence, image enhancement becomes an important step to improve the quality of image. Images are enhanced such that there is change in intensity or saturation component, keeping hue unchanged. Often, gamut problem arises when transforming from one plane to another. In this paper, the techniq...Show More
Computer Visionimage Enhancement for Plant Leaves Disease Detection
2014 World Congress on Computing and Communication Technologies
Year: 2014 | Conference Paper |
Cited by: Papers (32)
Enhanced images have high quality and clarity than original captured images. Computer vision image enhancement (Color conversion and Histogram equalization) is used in different real time applications such as remote sensing, medical image analysis and plant leaves disease detection. Original captured images are RGB images. RGB images are combination of primary colors (Red, Green and Blue). It is d...Show More
Histogram Equalization for Image Enhancement Using MRI Brain Images
2014 World Congress on Computing and Communication Technologies
Year: 2014 | Conference Paper |
Cited by: Papers (83)
Medical image processing plays an essential role in providing information in wide area for such advanced images. Magnetic resonance imaging (MRI) is an advanced medical imaging technique providing rich information about the human soft tissue anatomy. MRI of the brain is an invaluable tool to help physicians to diagnose and treat various brain diseases including stroke, cancer, and epilepsy. The sp...Show More
Histogram intersection based image retrieval technique using relevance feedback
2009 3rd International Workshop on Soft Computing Applications
Year: 2009 | Conference Paper |
Cited by: Papers (1)
This article provides a color-based image retrieval technique for RGB image databases. Our proposed CBIR system uses the query by example approach and a relevance feedback mechanism. Feature extraction process is performed by computing a global color histogram for each image. Feature vectors are compared using the histogram intersection difference metric, and a relevance feedback mechanism is used...Show More
Image Enhancement using Various Histogram Equalization Techniques
Sadjyot Hemant Gangolli;Arnold Johnson Luke Fonseca;Reena Sonkusare
2019 Global Conference for Advancement in Technology (GCAT)
Year: 2019 | Conference Paper |
Cited by: Papers (10)
Image Enhancement is a method that converts a poor quality image into a image of superior quality. This paper basically intends to enhance the quality of a image using the Histogram Equalization technique on MATLAB (R2014a) software and the outcome of the image parameters before and after applying Histogram Equalization are discussed. The statistical parameters of the image histogram such as mean ...Show More
Performance metrics for image contrast
Abhishek Kumar Tripathi;Sudipta Mukhopadhyay;Ashis Kumar Dhara
2011 International Conference on Image Information Processing
Year: 2011 | Conference Paper |
Cited by: Papers (55)
In this paper, contrast level of the images are quantified by the two proposed metrics. These metrics are Histogram Flatness Measure (HFM) and Histogram Spread (HS). Computation of these metrics is based on the shape of the histogram. Extensive simulation results reveal that HS is more meaningful than HFM. Low contrast images have low HS value, while high contrast images have higher value of HS. T...Show More
Image contrast enhancement by preserving brightness using global and local features
Third International Conference on Computational Intelligence and Information Technology (CIIT 2013)
Year: 2013 | Conference Paper |
Cited by: Papers (2)
Image enhancement is one of the most significant techniques in digital image processing. This paper introduces two image enhancement methods, Weighted of Local and Bidirectional Smooth Histogram Stretching (WLBSHS) and Local then Bidirectional Smooth Histogram Stretching (LBSHS). WLBSHS uses local and global enhancement in weighted approach. Main purpose of local enhancement is sharpening edges of...Show More
An analysis of x-ray image enhancement methods for vertebral bone segmentation
Ili Ayuni Mohd Ikhsan;Aini Hussain;Mohd Asyraf Zulkifley;Nooritawati Md. Tahir;Aouache Mustapha
2014 IEEE 10th International Colloquium on Signal Processing and its Applications
Year: 2014 | Conference Paper |
Cited by: Papers (35)
Image enhancement is a critical component in getting a good segmentation, especially for X-ray images. Magnification of the contrast and sharpness of the image will increase the accuracy of the subsequent modules for an autonomous disease diagnosis system. In this paper, we analyze various methods of preprocessing techniques for vertebral bone segmentation. Three methods are considered which are h...Show More
Enhancing Visual Clarity via Color Model-Based Histogram Equalization
S. Kayalvizhi;P. Balaji;M. Mouleesh;D. Ajay;S. Mohanavengatesh;S. Balaji
2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
Year: 2024 | Conference Paper |
This paper proposes a novel approach for enhancing hazy images using histogram methods and color space conversions. The method involves converting the hazy image into RGB, HSV, and YCbCr color spaces, where each space offers unique insights into the image’s color and brightness characteristics. By applying histogram equalization and other histogram-based techniques in these color spaces, the hazy ...Show More
HSV Color Histogram Based Image Retrieval with Background Elimination
Umur Erkut;Faruk Bostancıoğlu;Murat Erten;Ahmet Murat Özbayoğlu;Ercan Solak
2019 1st International Informatics and Software Engineering Conference (UBMYK)
Year: 2019 | Conference Paper |
Cited by: Papers (15)
In this study, a new content based image retrieval (CBIR) method, which uses HSV histogram data is proposed. The model uses the HSV histogram to find the background from the image by analyzing the peaks in the histogram data and performing a moving window algorithm to identify the region within the histogram that belongs to the background colors. After identifying the background information, the s...Show More
Simultaneous color matching in stereoscopic images based on image decomposition
2014 IEEE Fourth International Conference on Consumer Electronics Berlin (ICCE-Berlin)
Year: 2014 | Conference Paper |
Cited by: Papers (1)
Color discrepancies between the left and right images from a stereoscopic camera cause many problems, including a reduction in the three-dimensional effect and increased visual fatigue. Thus, color matching of stereoscopic images is very important for three-dimensional display systems. Therefore, this paper proposes simultaneous color matching based on image decomposition. The stereoscopic images ...Show More
Research of Image Retrieval Based on Color
2009 International Forum on Computer Science-Technology and Applications
Year: 2009 | Conference Paper |
Cited by: Papers (8)
Research on image retrieval technology based on color feature, for the color histogram with a rotation, translation invariance of the advantages and disadvantages of lack of space, a color histogram and color moment combination image retrieval. The theory is a separate color images and color histogram moment of extraction, and then two methods of extracting color feature vector weighted to achieve...Show More
Pre-processing of Multimodal MR Images using NLM and Histogram Equalization
2022 International Conference on Electronics and Renewable Systems (ICEARS)
Year: 2022 | Conference Paper |
Cited by: Papers (3)
Magnetic resonance imaging has emerged as one of the maxima broadly used and flexible scientific imaging modalities today. While at the beginning of this technique the research was fundamentally qualitative and relied exclusively on observation of images, currently several technological developments have driven it possible to derive quantitative measurements from these data. However, MR images are...Show More
Automatic tracing of vocal-fold motion from high-speed digital images
Defining characteristics of the phonatory vocal fold vibration is essential for studies that aim to understand the mechanism of voice production and for clinical diagnosis of voice disorders. The application of high-speed digital imaging techniques to these studies makes it possible to capture sequences of images of the vibrating vocal folds at a frequency that can resolve the actual vocal fold vi...Show More
An optimized hyper kurtosis based modified duo-histogram equalization (HKMDHE) method for contrast enhancement purpose of low contrast human brain CT scan images
Sabyasachi Mukhopadhyay;Nirmalya Ghosh;Ritwik Burman;Prasanta K Panigrahi;Sawon Pratiher;M. Venkatesh;Soham Mandal;Satyasaran Changdar
2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
Year: 2015 | Conference Paper |
Cited by: Papers (9)
In our proposed hyper kurtosis based modified duo-histogram equalization (HKMDHE) algorithm, contrast enhancement has been done on the hyper-kurtosis based application. The results are very promising of proposed HKMDHE technique with improved PSNR values and lesser AMMBE values than other classical techniques like CLAHE.Show More
An optimized hyper kurtosis based modified duo-histogram equalization (HKMDHE) method for contrast enhancement purpose of low contrast human brain CT scan images
Sabyasachi Mukhopadhyay;Nirmalya Ghosh;Ritwik Burman;Prasanta K Panigrahi;Sawon Pratiher;M. Venkatesh;Soham Mandal;Satyasaran Changdar
Year: 2015 | Conference Paper |
Two-Layer Method of Image Retrieval Based on Global Color Histogram and Local Color Spatial Features
2007 International Conference on Machine Learning and Cybernetics
Year: 2007 | Conference Paper |
A new method based on two layers image retrieval is proposed. The first layer retrieval feature is global color histogram and the second one consists of the local color histogram, the averages and variances of the multi-scaling 2D wavelet decomposition coefficients. Difference weights are assigned to every block according to the importance of its spatial distribution. This method combines the adva...Show More
Modified self — Adaptive Plateau Histogram Equalization with mean threshold for brightness preserving and contrast enhancement
2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013)
Year: 2013 | Conference Paper |
Cited by: Papers (1)
Histogram Equalization (HE) is a simple, effective and widely used contrast enhancement technique as it can automatically define the intensity transformation function based on statistical characteristics of the image, but it tends to change the mean brightness of the image to the middle level of the gray level range. HE also produces saturation effects by extremely pushing the intensities towards ...Show More
Bone marrow image segmentation based on multilevel thresholding
2012 International Conference on Biomedical Engineering (ICoBE)
Year: 2012 | Conference Paper |
Cited by: Papers (6)
This paper represents an approach of image segmentation on microscopic bone marrow images by using multilevel tresholding technique. This technique has been applied into two types of images which is normal bone marrow and Acute Lymphoblastic Leukemia (ALL). Generally, image processing technique involved five basic components which are image acquisition, image pre-processing, image segmentation, po...Show More
The Combination of Contrast Stretching and Histogram Equalization Methods to Optimizing Radiology Image Quality
Muhammad Fiqri Fadillah;Rin Rin Nurmalasari;Li Kamelia;Mursidin
2023 9th International Conference on Wireless and Telematics (ICWT)
Year: 2023 | Conference Paper |
Several difficulties frequently arise when acquiring radiological pictures, which can impair the clarity of visual images. The doctor's capacity to precisely interpret images can be hampered by several issues, including noise (interference), low contrast, and uneven intensity distribution. The combination method of Contrast Stretching and Histogram Equalization was created to enhance the visual qu...Show More
While in the continuous case, statistical models of histogram equalization/specification would yield exact results, their discrete counterparts fail. This is due to the fact that the cumulative distribution functions one deals with are not exactly invertible. Otherwise stated, exact histogram specification for discrete images is an ill-posed problem. Invertible cumulative distribution functions ar...Show More
Color image enhancement using brightness preserving dynamic histogram equalization
Histogram equalization (HE), although one of the most popular techniques used for digital image enhancement, is not very suitable to be implemented directly in consumer electronics, such as television, because this method tends to produce an output with saturation effect. To overcome this weakness, it is suggested that the mean intensity of the input image be maintained in the output image. Previo...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.