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15 articles for “co-occurrence matrix”
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A Novel Approach for Texture Feature Extraction to Retrieve Texture Images using Gray-Level Co-occurrence Matrix (GLCM)
Abstract: Image retrieval plays an important role in many of the areas. Content based image retrieval (CBIR) is used for browsing most similar images from the large database. Texture is an important characteristics used in identifying the region of interest or objects in an image. In this image retrieval method, texture method is used to extract the features and retrieves the similar images based on similarity of the features. In the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 32–36 Read article
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Plant Disease Detection Using SVM
Abstract: AbstractDiseases in plants are responsible for major production and economic losses and also reduction in yield. Detection of plant disease through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself, it detects the symptoms of diseases. Detection on plant is very critical for defensible agriculture. It is very challenging to monitor the plant diseases physically. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 8–12 Read article
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Plant Leaf Sickness Recognition Using Image Processing
Abstract: This paper demonstrates the use of image processing techniques in detection of diseases in plants. The system which we have demonstrated in this technique is a software result for computerized detection and computing of the texture enumeration for the leaf diseases in plants. This processing system involves four major steps: (1) in this step we take an RGB image as input and it’s colour transformation structure is created, (2) in …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 26–31 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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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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Automatic Detection and Classification of Brain Tumor in Magnetic Resonance Images
Abstract: Brain tumor is one of the serious diseases that have caused death to many people in recent years. The complex structure of the brain and its main function associated with the central nervous system and its critical role in controlling most of the functions of the body make detection of tumor a challenging task. Many techniques have been presented in the medical field in order to detect brain tumor from …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 34–40 Read article
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Extraction of Retinal Features in Fundus Images for Glaucoma Diagnosis
Abstract: Glaucoma is a major cause for blindness, identified early by the structural changes of optic nerve head in the retina. Retinal image analysis is emerging as an important screening tool for prior detection of eye diseases. Glaucoma is a chronic eye disease in which damage to the optic nerve leads to progressive, irreversible vision loss and it is considered as second leading cause for blindness worldwide. In this research work, …
Published in Current Trends in Information Technology · Vol. 6, Issue 1, 2016 · pp. 21–28 Read article
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A Novel Feature Level Fusion Method for Classification of Remote Sensing Images
Abstract: Feature level fusion approach is utilized in this paper to classify remote sensing images. Texture features are extracted from panchromatic images using mixed Gabor filter (GB), fast gray level co-occurrence matrix (GLCM) and linear binary pattern (LBP). The resultant texture features are classified using nearest neighbor (k-NN) classification method. Spectral features are extracted from the MS image and segmented using over segmented k-means algorithm with novel initialization (OSKNI). Finally the …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 1, 2019 · pp. 58–65 Read article
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A Supervised Learning Approach for Toxic Comment Detection on Social Media Platforms
Abstract: Nowadays everyone uses social media platforms like X (formerly Twitter), Instagram, Facebook, etc. for various purposes. With the help of this, we share our opinions, ideas, and feelings. Generally, the datasets obtained from the internet are constructive; however, there is a significant proportion of toxic ones. The datasets are filtered to remove noise, and noise is removed in post-processing. The study initiates with the upload and preprocessing of a toxic …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 7–14 Read article
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A Study on Distribution of Acridoidea (Orthoptera) of Patna District, Bihar (India)
Abstract: A thorough study of species shows that 12 types of grasshoppers fall into 3 families: Acridoidae, Catantopidae, and Pyrgomorphidae. These families have 7, 3, and 2 species, respectively. The survey places with rich plants and different weather conditions – like rainfall, humidity, and temperature. Researchers did an extensive survey. They checked many crops and habitats to gather grasshoppers from various agricultural spots. These insects were observed in their natural habitat. …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 3, 2024 · pp. 1–5 Read article
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Influence of Tib2 Wt. % on the Microstructural and Mechanical Properties of In-Situ Processed Stir-Cast Metal Matrix Composite of Al-6061
Abstract: Currently, there is an increasing trend in the automotive and aerospace industries towards the adoption of lighter and stronger materials to reduce weight and enhance fuel efficiency. Metal matrix composites must be developed in order to increase the overall performance of automobiles and aircraft as a result of this transition. Among the various composite materials employed, Aluminium Matrix Composites (AMCs) are frequently utilised to meet stringent industrial requirements. The purpose …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 655–661 Read article
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Leaf Disease Classification Using Artificial Neural Networks and Decision Tree Classifier
Abstract: Most of the population in India depends on agriculture production. Diseases on plant cause a significant loss of nation’s economy. The Loss can be reduced by identifying the disease at the earlier stage. Leaves are the main indicator of diseases in a plant. Hence efficient automatic leaf disease identification system is the need for the current scenario. As it detects the diseases on leaf immediately after they appear, it prevents …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 26–32 Read article
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Role of GO and rGO on the Structural Properties of PA6/PMMA Blend Nanocomposites
Abstract: To understand and assess the role of Graphene Oxide (GO) and reduced graphene oxide (rGO) in the PA6/PMMA blend, nanocomposites, the PA6/PMMA (50:50 wt%) blend-based nanocomposites were prepare by loading different wt% of GO and rGO (1wt% and 3wt%), through twin screw melt extrusion followed by injection moulding technique. Different compositions of the nanocomposites were prepared using melt mixed method at 2300C by applying a rotational torque 50 N. All …
Published in Journal of Polymer & Composites · Vol. 10, Issue 1, 2022 · pp. 1–10 Read article
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Synergistic Effect of Green Nanofillers on Basalt–Kenaf Reinforced Sustainable Polymer Composites
Abstract: This study examines the synergistic impact of green nanofillers on the mechanical and structural properties of basalt–kenaf fiber reinforced polyester composites, with the objective of developing sustainable, high-performance polymer materials. The composites were produced with different fiber ratios: B1 (70% basalt, 30% kenaf), B2 (60% basalt, 40% kenaf), and B3 (50% basalt, 50% kenaf), and were reinforced with 1 wt.% green-synthesized nano-TiO2, obtained using an eco-friendly sol–gel technique with plant …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1248–1262 Read article
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Electrospun Nanofibers for Biomedical and Pharmacological Applications
Abstract: In biological and pharmaceutical sectors, nanofibers which have unique properties including a lot of surface area, tunable porosity, and high mechanical strength are very fascinating and may be made flexibly and effectively by electrospinning. More and more in biosensors, tissue engineering, drug delivery, wound healing, and medication delivery are these electrospun nanofibers being used. They may fundamentally alter the way healthcare is administered. Advanced medical applications benefit from fibres' ability …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 375–387 Read article