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283 articles for “image quality”
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Classification of Ceramic Tiles Using Image Processing
Abstract: Normal 0 MicrosoftInternetExplorer4 In ceramic tile industry quality of tiles is very important. Once the manufacturing of tile is finished it has to be classified. At present this classification is doing manually but the human inspection may be effected by the external disturbances, sometimes angle of light also leads to the false judgment. This paper will give a solution to this problem. This paper deals with the Quality control of …
Published in Journal of Instrumentation Technology & Innovations · Vol. 2, Issue 2, 2012 · pp. 1–7 Read article
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SYNERGISTIC FUSION OF HYPERSPECTRAL AND HIGH RESOLUTION IMAGE FOR IMPROVING PERFORMANCE AND RELIABILITY OF AUTOMATICALLY EXTRACTED URBAN FEATURES
Abstract: Image fusion is a generic word referring to several techniques of digital image processing which are used to integrate data from different spatial and spectral resolutions in order to obtain higher-quality synthetic images. This paper emphasizes the assessment and systematic analysis of image fusion techniques by measuring the quantity of enhanced information in fused images. EO1- Hyperion and IKONOS (MSS+PAN) have been fused using Principal component analysis, Gram-Schmidt Transformation (GST) …
Published in Journal of Remote Sensing & GIS · Vol. 1, Issue 1, 2010 · pp. 1–11 Read article
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Ameliorated perceptive approach to MSRCR algorithm for image augmentation
Abstract: Retinex theory was developedby Edwin H.Land in the year of 1964.Retinex based image enhancement system improves the quality of image. The dominant assumption of retinex theory is that the image can be decomposed in to two factors, one is Reflectance and the other one is illumination. It increases the human perception of information. The color image enhancement methods are used to increase the contrast of color images. The human visual …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 17–26 Read article
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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
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Intelligent Aquaculture System for Fish Disease Detection Using Machine Learning
Abstract: Aquaculture is one of the key factors for global food security, but fish diseases bring about heavy economic losses and jeopardize sustainability. One of the most important aspects of global food security is aquaculture, but fish infections endanger sustainability and cause significant financial losses. Early diagnosis is not possible since traditional disease detection techniques are laborious and necessitate expert intervention. To effectively detect fish infections, this study suggests an Intelligent …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 30–37 Read article
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Image Preprocessing Techniques
Abstract: ABSTRACTPreprocessing method is an important step, specifically for low-quality picture images. This method is robust to lighting variations and produces images with very little noise and consistent stroke width. The process computes a “surface” of background intensities at every point in the image that performs adaptive thresholding based on this result. The surface is estimated by identifying regions of low resolution text and interpolating neighboring background intensities into these regions. …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 2, 2012 · pp. 20–29 Read article
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Digital Entry of Bank Related Slips Using Character Recognition
Abstract: Standing in long queues in bank for small work like depositing the money is very frustrating and also wastes a lot of time. The bank employee handles all the work such as making the entry of money deposited or credit from the account manually by typing information such as account number, amount, etc. and due this creates long queues in banks for such small tasks. Thus, we have come up …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 3, 2021 · pp. 30–35 Read article
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A Survey on Various Image De-noising Methods
Abstract: Image de-noising is a classical yet fundamental problem in low level vision, as well as an ideal test bed to evaluate various statistical image modeling methods. The restoration of a blurry or noisy image is commonly performed with a maximum a posteriori probability (MAP) estimator, which maximizes a posterior probability to reconstruct a clean image from a degraded image. A MAP estimator, when used with a sparse gradient image prior, …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 3, 2014 · pp. 10–14 Read article
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Image Segmentation based on Region Merging using Breadth-First Search
Abstract: This paper proposed a new method for image segmentation based on region merging using breadth-first search (BFS). The image can be partitioned into multiple segments so that meaningful information is extracted out and then image is analyzed easily. In the proposed method, first the oversegmented image is obtained by applying a standard watershed transformation on original image. Then BFS is executed on the oversegmented image to obtain a segmented image. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 20–25 Read article
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A Relative Study of Various Noise Removal Techniques in Images
Abstract: AbstractIn image processing, noise reduction and restoration of image is expected to enhance the qualitative inspection of an image and the performance criteria of quantitative image analysis methods. Digital image is inclined to a variety of noise which attribute the quality of image. The main purpose of de-noising the image is to reinstate the detail of original image as much as possible. The criteria of the noise removal problem depend …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 2, 2017 · pp. 22–30 Read article
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Experimental Performance Testing of Separable Reversible Data Hiding Techniques
Abstract: Now a day, for authentication of the image and hiding data within image, different types of separable reversible data hiding techniques are available. In this paper, authors give experimental based performance analysis of separable reversible data hiding techniques based on lossless image compression. Comparative analysis is given on the basis of basic two parameters, that is, quality of image after hiding data within image and time taken by both the …
Published in Current Trends in Information Technology · Vol. 7, Issue 1, 2017 · pp. 15–23 Read article
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Personality and Behavior Identification Based on Handwriting Analysis
Abstract: Graphing is the process of identifying, evaluating, and understanding a person's personality traits through handwritten patterns. The accuracy of handwriting analysis depends on the skill of the analyst, it is expensive and prone to errors. The proposed approach is therefore focused on building a system that can predict personality traits with the help of machine learning without human intervention. In this project, 657 authors' handwritten samples were taken as datasets. …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 42–54 Read article
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A Review on Various Shadow Detection and Removal Techniques for Image Enhancement
Abstract: AbstractShadow is a dark area created when light from a light source is blocked by an opaque object. The presence of shadow has been responsible for reducing the reliability of many computer vision applications including segmentation, object detection, scene analysis etc. Shadows degrade the quality of image and it may affect information provided by the image. Therefore, shadow detection and removal is an important pre-processing to restore the information of …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 14–19 Read article
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Brain Tumor Detection by Aggregating Deep Learning and GAN Models for Faster MRI image Synthesis
Abstract: Brain tumors comprise a global health challenge that, in order to be treated and organized, need early and accurate diagnosis. Usually conducted through medical imaging, brain tumor detection techniques have problems of accuracy, efficiency, and confidentiality. Issues of limited datasets, strict privacy laws that provide restrictions on data sharing, and the necessity for specialized expertise on medical image analysis relegates modern methodologies to vulgar charades. For patient prognosis, treatment planning, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 45–53 Read article
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Design Simulation and Assessment of Image De-noising through Improved Median Filters Based Sub band Decomposition
Abstract: The quality of an image sequence can degrade due to a number of causes, such as noise in the recording, transmission, or scanning. Additionally to enhancing the visual appeal, filtering offers the advantage of facilitating subsequent image processing tasks like coding, interpretation, or analysis. While attempting to restore a perfect image from a faulty copy, noise reduction is a top concern. Because of this, there isn't a single strategy that …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 2, 2022 · pp. 9–21 Read article
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A Novel Approach of Medical Image Fusion using Wavelet Transforms
Abstract: Image processing applications have been growing rapidly in real world. The term fusion means an approach to extract the useful information from several modalities. Image fusion (IF) is used to integrate the complementary information obtained from multisensor, multiview and/or multitemporal and get an image of more information and the quality of which cannot be achieved from any individual image. Different fusion algorithms are useful in many applications like medical diagnosis …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 18–25 Read article
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All-in-One Focus image using Guided Filters
Abstract: Machine Vision System plays a vital role in manufacturing industries for the automatic inspection of quality of the finished product. The success of machine vision system for real time application is purely depends on the response of the hardware system in capturing the image of the object and the image processing algorithm which is used to extract the features of the object from the captured image. For the extraction of …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 2, 2022 · pp. 46–53 Read article
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Automated Detection of Polycystic Ovarian Syndrome using Neural Network Algorithm
Abstract: The ovarian ultrasound imaging could be a good tool in infertility treatment. Monitoring the follicles is extremely important in human reproduction. Periodic measurements of the scale and shape of follicles over several days are the primary means of evaluation by doctors. Today monitoring the follicles is finished by non-automatic means with human interaction. This work could also be very demanding and inaccurate and, in most of the cases, means only …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 2, 2020 · pp. 9–13 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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Atmospheric Remote Sensing: Bridging Technology and Environmental Challenges
Abstract: The rapid advancements in remote sensing technologies have revolutionized the field of atmospheric studies, offering unprecedented capabilities for detailed observation, analysis, and understanding of the Earth's atmosphere. These technological innovations have proven to be instrumental in tackling critical environmental challenges, providing scientists and researchers with the tools needed to monitor and analyze atmospheric phenomena with greater precision and depth.This article delves into the historical development, current state, and diverse applications …
Published in International Journal of Atmosphere · Vol. 2, Issue 1, 2025 · pp. 14–19 Read article