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43 articles for “contrast image enhancement”
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Enhancing Palm Print Recognition System
Abstract: Palmprint is the most popular and reliable feature of biometric system. From the palmprint different features can be extracted for recognition. In this paper the method of personal identification is based on broken lines and repeated lines of palm. The image of a palm captured from database contains not only the principal lines but also irregular lines like repeated lines and broken lines. The proposed method extracts the pattern lines …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 61–69 Read article
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Study on Brain Tumor Detection Using Morphological Operations in MATLAB with Graphical User Interface (GUI)
Abstract: Brain tumor detection plays a crucial role in early diagnosis and effective treatment planning. This research presents a MATLAB-based Graphical User Interface (GUI) for Brain Tumor Detection, incorporating a comprehensive pipeline of image processing techniques. The GUI provides a user-friendly platform, empowering medical professionals to accurately and efficiently analyze MRI brain scans. The GUI begins with text removal to eliminate any textual artifacts that may be present in the MRI …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 24–31 Read article
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ROI based Enhanced Fragile Image Watermarking for Tamper detection
Abstract: Due to increased utilization of web and mixed media applications image watermarking is attaining more popularity. Image watermarking attaches supplementary data about host (original) image as logo/sound/video or content. The primary point of watermarking is to dispense data integrity, copyright assurance, ownership identification and content validation. Along with providing content validation and data integrity watermarking also prevents the content from being modified. The primary necessities of watermarking are security, capacity, …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 3, 2018 · pp. 18–25 Read article
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Fuzzy Based Night Color Image Enhancement
Abstract: This paper presents an algorithm based on fuzzy sets for enhancement of images captured during night. HSV color space is employed to extract S and V components of the image and fuzzification is carried out on the V component. The fuzzified membership function is modified, defuzzified and three iterations are carried out. This algorithm enhances the dark region by restraining the glaring region, adjusting the contrast, distributing luminance evenly and …
Published in Current Trends in Signal Processing · Vol. 5, Issue 1, 2015 · pp. 1–6 Read article
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Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Navigating the Challenges of COVID-19: A Guide for Mental and Behavioural Health
Abstract: The COVID-19 epidemic has posed unique encounters globally, impacting various aspects of daily life, including mental and behavioral health. The present study attempts to prepare a guide with ways and means to navigate the challenges of the COVID-19 pandemic. This guide provides comprehensive insights and strategies for individuals to navigate these challenges effectively. The study began by addressing the psychosomatic effect of the pandemic, such as increased anxiety, depression, PTSD, …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 1–15 Read article
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Automated Blood Cell Counting and Disease Identification Using Image Processing: Implications for Polymer Composite- Based Biomedical Diagnostic Devices
Abstract: Accurate quantification of blood cells is central to clinical decision-making and to the performance of emerging polymer composite–based diagnostic platforms. This work presents a cost-effective, image-processing pipeline for automated counting of red blood cells (including overlapping cells), white blood cells, and platelets from Leishman-stained peripheral blood smears, and articulates its relevance to polymer composite microfluidic and biosensor devices. Implemented in Python with OpenCV, the workflow performs grayscale conversion, median/Gaussian denoising, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 262–270 Read article
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Crystal Defects and Their Characterization in Modern Materials Science
Abstract: The physical and chemical properties of crystalline solids are fundamentally dictated by deviations from structural perfection, known as crystal defects. From the point-scale vacancies that drive diffusion to the planar boundaries that determine mechanical strength, defects serve as the primary "tuning knobs" in material design. This review provides a comprehensive examination of point, line, and planar defects, exploring their formation energetics and their role in plastic deformation via crystallographic slip. …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 1, 2026 · pp. 15–19 Read article
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Contract and Feature Extraction of CBIR Method Using Soft Computing Techniques in Machine Learning
Abstract: There is expansion in size of picture securing and information capacity strategies and furthermore there is expansion in data set of pictures. Prior text-based depiction and manual comment of pictures were utilized for recovery of pictures that was a tedious errand. The need of great importance is to deal with the huge assortments through proficient frameworks called content-based picture recovery frameworks. For this situation visual items in the picture like …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 17–26 Read article
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Content-based Image Retrieval: Recent Trends and Techniques
Abstract: Due to the affordability of digital devices and the accessibility of internet technologies, a vast number of multimedia databases have been established for various applications. These image databases increase the need for efficient picture retrieval search strategies that meet user requirements. When compared to other systems, the content-based image retrieval (CBIR) system is one of the most widely used systems for retrieving images from enormous databases. Much work has been …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 01–32 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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Matching Minutiae Fingerprint Q-Learning Approach for Detail Coordination: Identifiable Mark Point
Abstract: The use of fingerprints for high-precision recognition and identification of people is one of the most reliable biometric symbols because it is non-invasive. In this paper, we propose an innovative approach to detect details on low contrast resolution image quality of fingerprint images. Existing algorithms are not very susceptible to sound and image excellence due to the lack of level of intensity. We recommend a reliable route to find fingerprints …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 1, 2023 · pp. 1–15 Read article
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Detection and Retrieval of Follicles in Polycystic Ovarian Syndrome (PCOS) using Image Processing Techniques
Abstract: About to 18% women of reproductive age are affected by PCOS (Poly Cystic Ovarian Syndrome), a common endocrinopathy. It is also known as PCOS (Poly Cystic Ovarian Syndrome) or Stein-Leventhal syndrome. An imbalance of woman’s female hormones like estrogen and progesterone occur which causes the infertility. There are various methods which are used to diagnose this condition but the most helpful method is the pelvic ultrasound which confirms the presence …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 1–6 Read article
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Modified Morphology of Wavelet based Transformations for Color Image Compression
Abstract: For the sake of effective transmission and less storage of digital information the signal processing environment requires compression schemes to facilitate easy handling and management of large chunk of information. Such that the redundant data and other chunks of information which can be reproduced from the existing or basic information can be reproduced in no time without requiring large database storages. Wavelet processing is one of such methods which are …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 1–9 Read article
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Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems
Abstract: Rapid environmental change driven by climate variability, urbanization, and ecological degradation has intensified the need for innovative monitoring systems capable of providing real-time ecological intelligence. Traditional environmental monitoring methods often rely on satellite imaging and stationary sensors, which may lack fine-scale biological sensitivity. In contrast, insects—due to their abundance, ecological diversity, and rapid responsiveness to environmental shifts—offer a powerful yet underutilized source of bio-sensing data. This paper introduces the concept …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 17–26 Read article
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Survey Paper on Image Defogging Using Various Techniques
Abstract: Because of the adverse climate conditions like the nearness fog or heavy rain, digital images are effectively subjected to a wide assortment of disturbance amid acquisition, which may decrease visual impact and influence post-handling of the image. Images corrupted by mist fog adversely the nature of vision-based physical security framework. Writing review is an imperative for comprehension and increasing significantly more learning about the particular zone of a subject. The …
Published in Recent Trends in Parallel Computing · Vol. 5, Issue 1, 2018 · pp. 20–26 Read article
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Facile Synthesis of SnO2/g-C3N4 nanocomposite for the photocatalytic degradation of Methylene Blue dye under visible light irradiation
Abstract: This work reports the nanoscale samples of pure tin dioxide (SnO₂), graphitic carbon nitride (g-C₃N₄), and their composite (SnO₂/g-C₃N₄) were successfully synthesized using the co-precipitation technique. The synthesized materials were extensively analyzed using multiple characterization techniques such as Powder X-ray Diffraction (PXRD), High-Resolution Scanning Electron Microscopy (HR-SEM), Energy-Dispersive X-ray Spectroscopy (EDAX), Fourier Transform Infrared Spectroscopy (FTIR), UV-Visible Spectroscopy, and High-Resolution Transmission Electron Microscopy (HR-TEM). Results from PXRD and EDAX confirmed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1835–1845 Read article
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A Comparative Machine Learning Framework for Early Prediction of Liver Cancer Using Clinical Attributes
Abstract: One of the main causes of cancer-related death globally is liver cancer, and improving patient outcomes depends heavily on early detection. However, low contrast, noise, organ similarity, and tumor shape and size variability make it difficult to accurately identify and segment liver tumors from medical imaging. Automated liver cancer diagnosis, segmentation, and prognosis have been greatly improved by recent developments in artificial intelligence (AI), especially deep learning. This work presents …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 39–47 Read article
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An Overview to Enhance Visual Cryptography Techniques
Abstract: A unique type of cryptographic method called "visual cryptography" allows for decryption to be carried out using only the human eye. Generally speaking, for some crucial security, in modern society, processing and protecting information from attacks is becoming a very important aspect for people. Researchers are developing new ways to protect information from unwanted intrusion. Numerous encryption methods have been discovered, with many more yet to be discovered. Visual ciphers …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 17–23 Read article
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Advanced Deep Learning Techniques for Sickle Cell Anaemia Detection
Abstract: Sickle Cell Anemia (SCA) is a prevalent genetic blood disorder characterized by the presence of abnormal hemoglobin, resulting in the distinctive sickle shape of red blood cells. Timely and accurate identification of Sickle Cell Anemia (SCA) is essential for effective management and treatment. This study presents a new method that utilizes Convolutional Neural Networks (CNNs), a deep learning model particularly effective for image analysis. The process involves using microscopic images …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 9–15 Read article