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49 articles for “Image histogram”
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Histogram Equalization for Image Enhancement Using Kidney Ultrasound Images
Abstract: Medical image processing plays an essential role in providing information in wide area for such advanced images. Kidney Ultrasound image (KUI) is an advanced medical imaging technique providing rich information about the size, shape, and location of the kidneys. KUI obtained from Doppler technique colored coded vessels is a valuable tool to help physicians to diagnose and treat various diseases. Ultrasound technology allows quick visualization of the kidneys and related …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 20–26 Read article
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A GUI Based Application for Image Enhancement and Character Recognition using MATLAB
Abstract: AbstractImage enhancement is a technique to increase the brightness of an image. It is also referred to as improving the quality of an image. In this paper, author discussed about the implementation of enhancement techniques like histogram stretching and histogram equalization. The implementation is done using MATLAB by designing an Image Enhancement based GUI prototype. The proposed GUI also supports the extraction of alphabetical and numerical character by using Optical …
Published in Journal of Advances in Shell Programming · Vol. 6, Issue 2, 2019 · pp. 28–34 Read article
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Effective CBIR System Using Color Histogram and Distance Measures
Abstract: AbstractInterests to precisely retrieve desired images from databases of medical images are developing every day. Certain features define the images; on the basis of those, the retrieval of images is facilitated. These components incorporate texture, color, shape and region. A lot of work has been done in this direction to discover the new ways to use these features in image retrieval process. In this study, we exhibit an overview of …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 1, 2019 · pp. 11–14 Read article
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Content-based Image Retrieval using SURF Feature Point Descriptor and Local Binary Pattern with Color Histogram
Abstract: An important research issue in multimedia technology is the retrieval of similar objects. Most of the content-based image retrieval (CBIR) uses the low-level features such as color, shape and texture to extract the features from the images. A short time ago, the interest points are used to extract the most relevant images with different view point and transformations. Speed up Robust Feature (SURF) is robust and fast interest points detector/descriptor …
Published in Journal of Open Source Developments · Vol. 2, Issue 2, 2015 · pp. 9–15 Read article
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Color Detection Using Open CV-Python
Abstract: In this study, we will identify color of different mathematical figures in the example given paired pictures, utilizing Python 2.7, Open Source PC Vision Library (Open CV) and Numpy. Open Cv could be a computer vision library developed by Intel. It is a bunch of C capacities and a couple of C++ classes that carry out broad image cycle and PC vision calculations. Some of the basic image process capabilities …
Published in Recent Trends in Programming languages · Vol. 8, Issue 1, 2021 · pp. 1–8 Read article
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A Novel Approach to Image Enhancement using FUZZY Set
Abstract: ABSTRACTIn this paper FUZZY set has been used to deal with image enhancement problems of some uncertain and inaccurate image. The traditional image enhancement method like histogram modification, image smoothing, image sharpening inverse filters and wiener filter for inaccurate and uncertain image is undesirable. As fuzzy system is capable of representing diverse, non-exact, uncertain and inaccurate knowledge of information, it has attracted the attention of for image enhancement. The generalized …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 28–34 Read article
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Review Paper for Different Techniques Using Image Enhancement
Abstract: AbstractImage enhancement (IE) performs a basic position in vision purposes. Lately, plenty of work has been carried out in the discipline of IE. Many tactics have already been proposed until now for reinforcing the digital pictures. This paper has presented a comparative analysis of quite several IE methods. This paper has proven that the fuzzy logic (FL) and histogram founded tactics have fairly amazing outcome more than the obtainable systems. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 1, 2017 · pp. 27–32 Read article
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Enhancement of Proton Density Weighted Magnetic Resonance Images using Singular Value Decomposition in Wavelet Domain
Abstract: Image enhancement techniques for low contrast medical images using Singular Value Decomposition (SVD) in Discrete Wavelet Transform domain (SVD-DWT) are proposed in the literature. However, shift sensitivity, poor directionality and a lack of phase information are the primary drawbacks of the discrete wavelet transform. This work introduces a novel method of image enhancement (SVD-SWT) using SVD in Stationary Wavelet Transform (SWT) to improve the contrast of Proton Density weighted Magnetic …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 2, 2022 · pp. 10–21 Read article
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Enhancement of Digital Mammograms Using Intuitionistic Fuzzy Entropy Function
Abstract: A novel intuitionistic fuzzy entropy-based algorithm is developed for increasing the contrast of digital mammograms. The contrast enhancement helps in the early detection of masses and microcalcification in tissues thus paving the way for the auxiliary diagnosis of breast cancer. The current techniques for the enhancement of digital mammograms do not consider the uncertainty in pixel intensities of mammograms. The proposed technique aims at enhancing the mammograms using intuitionistic fuzzy …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 10–26 Read article
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Review on CBIR Image Based on Colour, Texture and Shape Features of Biomedical Image Applications
Abstract: This study seeks to understand how different image enhancing methods affect the sensitivity of contrast-based textural measures and morphological traits derived from high-resolution satellite data (three-band SPOT-5). The built-up/non-built-up detection framework is the backbone of every biomedical application. Using supervised learning while working with a low-resolution reference layer reduces uncertainty and boosts the reference layer's quality in a roundabout way. The image's histogram is recalculated based on contrast in order …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 8–13 Read article
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Lossless and Reversible Data Hiding in Encrypted Images with Public Key Cryptography
Abstract: In this paper, system uses the cryptography and steganography concept, which proposes a lossless, reversible, and combined data hiding methods for images encrypted by public key cryptosystems with probabilistic and homomorphic properties. In the lossless method, pixels of encrypted images are replaced with new values to embed additional data into LSB-planes of ciphertext pixels by multiple layer wet paper coding. Thus, original data can be directly extracted from encrypted image, …
Published in Current Trends in Information Technology · Vol. 6, Issue 2, 2016 · pp. 27–33 Read article
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Recovering the History of Filtered JPEG Images for Forensic Detection
Abstract: The image editing software available today are apt for creating visually compelling and sophisticated fake images, which cause major issues to the reliability of digital contents as a right representation of reality. Authenticity is the main problem in most digital image communications. Various forensic techniques have been developed for the verification of image integrity, authentication, and tampering detection. Digital image forensics aims at finding the authenticity of images by recovering …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 3, Issue 2, 2016 · pp. 1–6 Read article
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Selection of Optimal Threshold in Digital Images using Collision Entropy and Min Entropy
Abstract: AbstractImage segmentation partitions an image into multiple segments based on properties of discontinuity and similarity. Thresholding is one of the important methods for image segmentation. It is used to discriminate foreground from the background of an image. The selection of suitable threshold value in the image is a challenging task. Thresholding value depends upon the randomness of intensity distribution of the image. Entropy is a parameter to measure the randomness …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 2, 2017 · pp. 25–31 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Contrast Image Enhancement Using Various Approaches: A Review
Abstract: AbstractImage enhancement is one of the most key issues in high quality pictures such as digital cameras and image research area. Since picture readability may be very effortlessly affected because of lighting fixtures during image acquiring, climate, or other equipment that has been used to seize the picture. These conditions may lead to image suffering from poor contrast and noise. Contrast enhancement converts the pixels depth of the input picture …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 39–45 Read article
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Fetal Ultrasound Image Segmentation
Abstract: The thesis explains development of a time-efficient method for segmentation in fetal ultrasound images so as to recognize femur contour in fetal ultrasound images and refine its shape. The main objective of the project was to develop segmentation of womb and fetus using fetal ultrasound images. Ultrasound segmentation produces detailed visualization of the underlying anatomy of the fetus in real time which can also recognize dynamically varying structures of the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 4, Issue 3, 2014 · pp. 34–39 Read article
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Refining Retinal Layer Segmentation in OCT Imaging with Advanced Techniques and Clinical Applications
Abstract: Segmenting retinal layers from Optical Coherence Tomography (OCT) pictures entails locating and separating different retinal layers to offer comprehensive anatomical and pathological information. Age-related macular degeneration, diabetic retinopathy, and glaucoma are among the retinal illnesses for which this procedure is crucial for diagnosis and follow-up. By utilizing preprocessing techniques to improve image quality and applying advanced algorithms—such as intensity-based, gradient-based, and texture-based methods—alongside deep learning approaches, clinicians can accurately measure …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 01–06 Read article
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Identification of Microcalcifications for Early Signs of Breast Cancer using LabView
Abstract: Breast cancer is the second-most common and leading cause of cancer death among women. It has become a major health issue in the world over the years, and it has increased drastically in recent years. Early recognition is an effective way to diagnose and manage breast cancer. Mammography is an efficient imaging technique for detection and diagnosis of breast pathological disorders at the early stage. The problems in mammography images …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 1, 2015 · pp. 1–5 Read article
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Local Binary Pattern-based Noise Robust Feature for Texture Classification
Abstract: Abstract: The presence of noise degrades the local binary pattern-based classification efficiency. In the present work, a modified local binary pattern ( —modified noise robust local binary pattern) based classification is proposed. In this, a local binary pattern-based feature is modified, which also captures macrostructure information, whereas the existing features capture microstructure texture information only. The new feature is tested on Outex_TC_00010, Outex_TC_00012 and Brodatz datasets for rotation invariant and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 3, 2019 · pp. 31–47 Read article
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Offline Handwritten Sanskrit Character Recognition System
Abstract: Despite technological improvements, computers still lag behind in language recognition. The majority of character recognition systems are incapable of reading cracked documents or handwritten characters or words. Sanskrit, an alphabetic script, is spoken by more than 100 million people worldwide. This study is about converting scanned handwriting images into text. This contains the steps below. The scanned image is initially segmented using a spatial space detection approach, after which the …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 32–37 Read article