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128 articles for “image normalization”
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Lithological Characterization and Reservoir Characteristics by Computerized Tomography Assisted Micro Density Log of the Rock
Abstract: Lithological characterization of the unconsolidated rock from heavy oil field has been attempted using X-ray computerized tomography imagine techniques. A micro density log is generated to obtain the hidden information of such variations along the depth at microlevel, which normally is not available through conventional log. Useful exploratory leads have been obtained through characterization of the nature of reservoir using simple petro-physical techniques on conventional cores by defining reservoir grade, …
Published in Journal of Petroleum Engineering & Technology · Vol. 7, Issue 1, 2017 · pp. 9–11 Read article
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Automated Thyroid Nodule Detection in Ultrasound Image using Optimal Neural Network Classifier
Abstract: Malignant thyroid nodule detection is an important issue in thyroid ultrasonography image processing. Literature reports many algorithms in this domain. This research aims to design optimal decision support system (DSS) for ultrasound thyroid nodule image characterization into benign and malignant classes. Thyroid nodule region is segmented to extract texture features from thyroid nodule ultrasound images acquired from 38 patients using gray level co-occurrence matrix (GLCM) and statistical properties. These features …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 2, 2015 · pp. 15–25 Read article
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A Rare Cause of Parkinsonism—Manganese Toxicity
Abstract: A 43-year-old male presented with six months history of gradual onset and progressive bradykinesia, tremors of upper limbs and walking difficulty in the form of imbalance and short shuffling gait. He also had slurring of speech with hypophonia. Neurological examination revealed slow broken saccades, rigidity with cogwheeling, bradykinesia and short shuffling, festinant gait. He had action and postural tremors of upper limbs. Pull test was positive. Thus, a diagnosis of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 9, Issue 1, 2019 · pp. 29–32 Read article
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Normalized Difference of Polinsar Coherence for Classification of Earth Covers
Abstract: The use of the interferometric SAR is extremely urgent for conditions of Siberia, nearly accessible and often covered by clouds. The polarimetric radar interferometry (PolInSAR) makes it possible to analyze the coherence of interferometric couples that provides additional information. This work makes an attempt to use a difference of polarimetric coherence value for the different types of classifications of the earth’s surface. As the processing method, it is proposed to …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 1, Issue 1-3, 2012 · pp. 32–41 Read article
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Comparative Analysis of Digital Image Watermarking using DCT and DWT
Abstract: AbstractWatermarking is a technique to hide information into digital data and provides security against intentional and unintentional attack. It is a very important and emerging field which helps to protect ownership of digital information. Watermarking is the process of inserting or hiding information behind cover data. In this paper we discussed about two digital watermarking techniques, Discrete Cosine Transform (DCT) and discrete wavelet Transform (DWT). The parameters to test robustness …
Published in Journal of Communication Engineering & Systems · Vol. 4, Issue 1, 2014 · pp. 1–5 Read article
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Online Handwritten Kannada Character Recognition and Translation to English
Abstract: Abstract—The objective of the paper is to develop a technique that can efficiently recognize hand-written characters of Kannada language and then translate the same to English language. Online recognition refers to the processing of the characters as and when it is written on digitizer and recognizes the class which it belongs to. The iball 5540U Pen Tablet is used to collect the handwritten character samples and to build the database. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 37–53 Read article
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Music Recommendation System and Mood Tweak Using Facial Emotion Recognition
Abstract: A user’s emotions can be detected through their facial expressions, these characteristics can be parsed, and the information can be used to improve the user’s experience. With the computing capabilities of on-board graphic processing, there is a new trend of functionality being considered in the field of emotion detection. The use of Convolutional and Recurring Neural Networks (CNN & RNN) to conduct a comparison on which deep learning can be …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 1, 2022 · pp. 43–49 Read article
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The Use of Satellite Imagery in Estimating Aboveground and Belowground Biomass of Aquatic Vegetation, The Food Source of Waterfowl
Abstract: 800x600 In this research we studied the possibilities to estimate the biomass of aquatic vegetation in a shallow lake using IKONOS image. IKONOS-2 image, with one infrared and three visible bands, was obtained on the 19th of August 2005. The study was carried out in the Lauwersmeer (The Netherlands) that Bewick’s swans use as an autumn staging site to forage on the belowground biomass of fennel pondweed. This research gave …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 2, 2015 · pp. 33–40 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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Intelligent Brain Tumor Diagnosis with AI-Based Classification* * Harnessing Deep and Machine Learning for Tumor Identification
Abstract: Brain tumors have become a leading cause of cancer- related deaths, posing significant health risks to many patients. This urgent medical challenge calls for rapid, automated, and reliable techniques to detect brain tumors accurately. Timely and precise tumor identification is crucial for devising effective medical plans that have the potential to save lives and improve patient outcomes. By leveraging advanced image processing methods, healthcare professionals can enhance their diagnostic capabilities …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 · pp. 51–58 Read article
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Optimized Text Extraction and E-Repository Development of Hindi and Punjabi Documents Using OCR and NLP Techniques
Abstract: Increase in digitalization of content in the form of text content necessitates powerful document and text extraction systems, particularly for Indian languages such as Hindi and Punjabi. The existing Optical Character Recognition (OCR) solutions support major scripts such as English, leaving a research opportunity for effective recognition of Devanagari and Gurmukhi scripts. This study recommends a modified text extraction algorithm based on Tesseract OCR, accompanied by preprocessing steps of conversion …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 35–43 Read article
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Spatio-Temporal Variability Assessment of Biophysical Parameters in the Tropical Deciduous Broadleaf Forest in Eastern India
Abstract: In the recent years, study of phenology variation has taken significance quintessential part of a bigger research agenda of seasonal change. This study has attempted to (a) analyse the monthly, quarterly, inter-annual and seasonal variation of vegetation (b) observe the variation in phenological transition dates of tropical deciduous broadleaf forest in eastern India from 2001 to 2014 (c) correlation between NDVI (Normalized Difference Vegetation Index) and LST (Land Surface Temperature) …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 2, 2015 · pp. 61–68 Read article
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Invisible Watermarking on RGB Image with the Combination of 7-DWT and SVD
Abstract: In this study, we present a powerful watermarking system based on seven level discrete wavelet transform and singular value decomposition for RGB picture where R signifies red color, G indicates green color and B means blue color. It provides improved security and performance in terms of mean square error, peak signal noise ratio, structural similarity matrix, normalized cross correlation and execution time. During the experiment, we increase peak signal noise …
Published in Journal of Open Source Developments · Vol. 2, Issue 3, 2015 · pp. 12–19 Read article
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Results of Thermal and Electric Field Influences on Cholesteric Liquid Crystals and their Application in new Technologies
Abstract: A significant achievement of recent decades is application of cholesteric liquid crystals in modern optical technologies. Cholesteric liquid crystals (ChLC) have unusual, and in some cases unique properties compared to traditional optical materials - the possibility of smooth and local control optical characteristics of the medium: light transmission, light scattering, polarization, refraction, reflection, absorption light, and color parameters. This control can be carried out electrical, light signals, mechanical, thermal, magnetic …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 2, 2021 · pp. 15–23 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 1–9 Read article
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IMAT: Intuitive Malware Analyzer Tool
Abstract: Malware refers to malicious software intentionally created to damage or exploit computer systems, networks, and devices. Malware can steal information, damage computers, and cause other problems disrupting normal computer operations, or gaining unauthorized access to systems. Our proposed system, "IMAT (Intuitive Malware Analyzer Tool)" uses special Python tools like VirusTotal and YARA to look for and understand malware. Imagine having a guard for your computer that checks all the files …
Published in Journal Of Network security · Vol. 12, Issue 1, 2024 · pp. 13–18 Read article
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Change Detection in Aerial Imagery
Abstract: The development of the Multi U-Net engineering marks an essential headway in geospatial question location inside ethereal symbolism investigation. The altered U-Net addresses the complexities of multi-class division in assorted geospatial settings. Leveraging the inalienable growing and contracting pathways inside U-Net plans, the Multi U-Net exceeds expectations in capturing complicated spatial data, in this manner setting up a vigorous establishment for exact division. The extend envelops an advanced picture handling …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 22–28 Read article
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Segmentation and Classification of Hand Gestures for Indian Sign Language with YCbCr and HSV Color Models with Dissimilar Signers Under Different Lighting Conditions using AlexNet
Abstract: Indian Sign Language (ISL) Recognition System can be implemented by considering the signs as hand gestures and developing a hand gesture recognition system. The impact of illumination changes on the performance of segmentation and classification where different lighting conditions such as normal, bright, dim, and artificial light under different color spaces like RGB, HSV and YCbCr are studied, and performance parameters are analyzed. It is observed that YCbCr color space …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 1, 2023 · pp. 37–50 Read article
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Mammographic CADe And CADx for Identifying Microcalcification Using Support Vector Machine
Abstract: The second most frequent cause of death and disease in women worldwide is breast cancer. Effective detection is a crucial element in the successful treatment of cancer. X-ray mammography is the majorityfrequent method for breast cancer. Screenings because of its convenience, portability, and cost-effectiveness. The CADe and CADx techniques were designed to assist radiologists in improving the detection and screening of breast cancer. The goal is for breast cancer to …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 2, 2020 · pp. 9–16 Read article
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Real-time Sign Language Detection Using Computer Vision and Machine Learning Techniques
Abstract: Communication plays an important role in our day-to-day lives as it assists people in sharing, and connecting to each other. Despite knowing the significance of the same, some deaf-mute pupils who are not able to communicate freely. These groups of people use sign language for sharing their thoughts. It could be a tough task to understand sign language for a group of humans who are not deaf-mute. We developed a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 1, 2023 · pp. 10–19 Read article