Search
42 articles for “image acquisition”
-
Failed Component Image Acquisition Quality Optimization for Machine Vision System
Abstract: AbstractWith the rapid development of the global semiconductor industry, electronic products are required to have new ideas, diversified functions, and thinness and shortness. The ball grid array (BGA) packaging technique arranges solder balls in a matrix mode on the bottom of the component substrate, so as to increase the functional density. The dye stain test is extensively used for array component failure analysis; however, the operation takes time and extends …
Published in Current Trends in Signal Processing · Vol. 10, Issue 2, 2020 · pp. 17–25 Read article
-
Diagnosis of Breast Cancer by Image Processing and Acquisition
Abstract: Abstract— Cancer is one of the deadliest disease in the current world and among breast cancer is found about 24%-28% among all the reported cases. In this paper development of CAD systems is discussed which reduces human interference and increases preciseness in the diagnosis of breast cancer. Mammography is a technique widely followed by radiologists for the detection and diagnosis of tumors. Introduction of digital imaging helped in acquiring high …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 30–36 Read article
-
Optical Character Recognition Using Back Propagation Neural Network
Abstract: This paper represents an Artificial Neural Network (ANN)-based approach for the recognition of English characters using feed-forward neural network. Noise has been considered as one of the major issues that degrades the performance of character recognition system. Our feed forward network has one input, one hidden, and one output layer. The entire recognition system is divided into two sections, namely training and recognition section. Both the sections include image acquisition, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 11–18 Read article
-
Single Sensor Camera Image Denoising Using PCA and Demosaicking with LMMSE
Abstract: Single sensor cameras are used mostly for image acquisition in digital cameras with a colour filter array (CFA). These cameras save image in an unrefined format, since the complete process of image acquisition get lengthy and complex, so it introduces noise in the image and hence requires some efficient technique for denoising. Different techniques have been used to denoise the captured image but efficiency of the algorithms has not been …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 1–10 Read article
-
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
-
Virtual Human Computer Interaction System v1
Abstract: AbstractAccording to various research people are having numerous health problems just because they sit in front of machine for long time. Human Computer interaction is completely dependent on peripheral devices (Mouse, keyboard). Dependency on peripheral devices had made people suffer from back pain, headache, obesity and other physical fatigues. Our approach is to reduce dependency on peripheral devices by creating virtual human computer interaction system. A virtual mouse controlling system …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 1, 2017 · pp. 20–22 Read article
-
Analysis of Discrete Wavelet Transform for Denoising of Breast CT Image
Abstract: During acquisition of medical images noise gets induced in the digital image by various effects. The state of art devices used for capturing the images introduces complex type of addition noise in the images. No medical imaging devices are noise free. The most commonly used medical images are acquired from MRI (Magnetic Resonance Imaging), CT (Computed Tomography) and X-ray equipment’s. Additive noise into medical image decreases the visual quality that …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 1, 2018 · pp. 27–31 Read article
-
A Various Study of Tamper Detection and Forgery image : A Survey
Abstract: The fast and dynamic development in innovation dissolves the trust in the integrity of imagery. With the wide accessibility of digital technology and apparatuses, a few of influenced territories concerning digital world are modern photograph scams in media, political battles, military, and mold and media outlet. The fast rate at which the digital crimes are expanding has turned into a noteworthy concern, particularly in the courtroom. To provide food these …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 2, 2018 · pp. 27–36 Read article
-
Implementation of Drone Technology to Prepare a Contour Map of Nesave Village
Abstract: Nowadays modern surveying techniques or instruments like DGPS, LiDAR and Drones are widely used as they cover more area in less time for surveying. Such techniques can even be used where visiting survey areas are tough or not possible. Drones are used instead of traditional surveying in a village named Nesave. Drones are used to capture images and process them using specialized software such as Agisoft Metashape Professionals and QGIS …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 2, 2025 · pp. 1–13 Read article
-
Automated Plant Disease Detection and Treatment Advisor Using Artificial Intelligence
Abstract: Automated plant disease detection and treatment advisors using artificial intelligence represent a significant advancement in modern agriculture. The identification of plant leaf diseases is essential to maintaining food security and agricultural output. Machine learning models, particularly deep learning algorithms like convolutional neural networks (CNNs), are trained on labeled datasets containing images of healthy and diseased plants. These models learn to classify images into different disease categories with high accuracy. Convolutional …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
-
Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
-
Countering Counterfeiting: Global Challenges and Technological Advances
Abstract: Fake notes are a global issue. Indian is only one among several. Anyone may now print counterfeit notes thanks to advancements in technology. These notes are created without the state’s legal sanction, and the ongoing production of such notes could hurt a country’s economy. When counterfeit notes are created and distributed, ordinary people cannot identify the difference between real and phony money since they are identifiable by their physical qualities. …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 31–36 Read article
-
A Review: Electrical Impedance Tomography System and Its Application
Abstract: Nowadays, the objective of medical research is to improve the diagnostic tools and instruments such as to develop new assessment methods, non-invasive and long-term monitoring method. Currently, the non-invasive technique is used for during pregnancy and labor due to its standard clinical approach. Such as ultrasound and MCG, CTG is also used during pregnancy because of its sensitivity to the mother and fetal movement but it is not used during …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 2, 2016 · pp. 14–22 Read article
-
Automatic License Plate Recognition using Video Sequences as Input and Artificial Neural Network as Recognition Technique
Abstract: ALPR system is used to automatically extract the number plate of a vehicle. This can be achieved by using different techniques that are employed in the field of image processing. ALPR method consists of 4 basic stages. The first stage of the system is the acquisition of an image of the vehicle. After that, the next step is license plate localization and then segmentation of the extracted license plate is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 89–102 Read article
-
Automatic License Plate Recognition using Video Sequences as Input and Artificial Neural Network as Recognition Technique
Abstract: AbstractALPR system is used to automatically extract the number plate of a vehicle. This can be achieved by using different techniques that are employed in the field of image processing. ALPR method consists of 4 basic stages. The first stage of the system is the acquisition of an image of the vehicle. After that, the next step is license plate localization and then segmentation of the extracted license plate is …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 25–38 Read article
-
Gold Nanoparticle Size, Biodistribution, and Toxicity: Insights from DualEnergy CT
Abstract: Dual-energy and spectral computed tomography (CT) have emerged as powerful platforms for noninvasive, quantitative mapping of nanoparticle biodistribution in vivo. By exploiting the energy-dependent attenuation profiles of high-atomic-number (high-Z) materials, these systems enable material decomposition and element-specific imaging, thereby distinguishing nanoparticle signals from those of soft tissues and conventional iodinated contrast agents. Photon-counting spectral CT further enhances this capability by binning individual photons into multiple energy channels, improving spatial resolution, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 · pp. 22–34 Read article
-
Activity Quantification of Lu-177 SPECT/CT Imaging for Calibration Factor Analysis in Clinical Radionuclide Dosimetry
Abstract: Purpose: To evaluate the calibration factor (CF) at three-time points with the same protocol & acquisition parameters for the images of Lu-177 activity, scanned by two different SPECT/CTs (GE & MEDISO) using a cylindrical Jaszczak phantom with cold inserts, filled with uniform activity in water and to analyze the changes in the calibration factor data with time. The purpose of the study is to quantitatively analyze the first step (calibration …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 2, 2024 · pp. 9–22 Read article
-
A Survey Paper on Image Denoising Technique for Satellite Images
Abstract: AbstractImage denoising (ID) is a material issue found in various image processing (IP) and PC vision issues. There are numerous techniques of denoising images. The most necessary property of ID model is that it ought to totally diminish clamor, however much as could reasonably be expected and edge conservation. This paper gives a knowledge perspective of some real work in the field of ID. Specialists have distributed numerous calculations in …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 2, 2017 · pp. 1–9 Read article
-
Sky Scanners: Using satellite remote sensing to figure out what Earth is like
Abstract: Satellite remote sensing has changed the way we look at, study, and learn about the Earth changing systems. Orbiting sensors take data from many different spectral bands, giving us constant, large-scale information about land, oceans, and the atmosphere. This study discusses the fundamental concepts of satellite remote sensing, including the various types of sensors, methods for data acquisition, and techniques for interpreting images. It talks about important uses like monitoring …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 22–33 Read article
-
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