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118 articles for “pixels”
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GHS Label Detection Using Color Segmentation
Abstract: AbstractThis research presented the Globally Harmonized System (GHS) label detection by color segmentation approach. The researcher adapts this approach for identify boundary of each color pixels in Different environment image set. Experimental result shown the detection model have high accuracy. However, the mainly cause of error processing is asymmetrical GHS label in sample image that.Keywords: Color Segmentation, Image Processing, GHS Label Detection, Computer VisionCite this ArticleSansanee Hiranchan. GHS Label Detection …
Published in Current Trends in Signal Processing · Vol. 10, Issue 2, 2020 · pp. 26–32 Read article
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Devanagari Script Recognition System using Combined Approach
Abstract: We envisioned serving simple technique with novel idea for the newcomers, working in the Devnagari Optical Character Recognition (DOCR) area. In this system, template matching technique and statistical technique is combinely used for the character recognition. Statistical information is considered as a feature of an image and here pixels values are considered as feature to achieve the recognition. The numbers of comparisons are drastically reduced compared to traditional template matching …
Published in Current Trends in Signal Processing · Vol. 4, Issue 1, 2014 · pp. 4–10 Read article
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A Review: Digital Image Processing
Abstract: Image Processing consists of converting the nature of a photograph with a view to improve its pictorial records for human interpretation, for independent system notion. virtual picture processing is a subset of the electronic area in which the image is transformed to an array of small integers, referred to as pixels, representing a bodily amount inclusive of scene radiance, saved in a virtual reminiscence, and processed by using pc or …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 12–16 Read article
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Image De-Hazing Using DCP
Abstract: Dim and Fog climate weakens the scene brilliance and causes trouble in distinctive the variety and surface of the scene. A significant stage in de-hazing is the recuperation of the worldwide air-light vector. Customary techniques for the most part decipher the RGB worth of the most splendid district in cloudiness pictures as the air-light. The earlier uses the measurable perception that far off view objects become the most cloudiness, misty …
Published in Journal of Electronic Design Technology · Vol. 13, Issue 2, 2022 · pp. 34–40 Read article
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Classification of Images Using Support Vector Machine (SVM) Approach
Abstract: The article explains how to classify images using machine learning techniques. The Support Vector Machine with strong flexibility and the capacity to operate with a vast collection of input data was employed to complete this challenge. A software created in the MATLAB simulation environment was used to explain the model. The main difficulty that image classification is gathering a large enough training set of photos to obtain a high probability …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 6–10 Read article
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Land Surface Temperature Estimation using Landsat ETM+ Data
Abstract: Land Surface Temperature (LST) can be estimated from remotely sensed satellite data. LST is a key parameter in the physics of land surface processes because it is involved in the energy balance as well as in the evapo-transpiration and desertification processes. The knowledge of surface temperature is important to a range of issues and themes in earth sciences central to urban climatology, global environmental change, and human-environment interactions. In this …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 1, 2014 · pp. 8–14 Read article
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Spectral Signatures to Achieve Accuracy
Abstract: AbstractSignature of spectrum is data convert appearances those to make for least accuracy variation by generalization and extension in place of expansion. Pixel form has subjected to change from multi-spectra issued to hyperspectral formation after issue of spectroscopic forms. Spectral signatures perform have scaled to measure from agronomy to metallurgical element detecting prosecution. Optimism appeared in species differentiation between coconut and palm oil plantation. Updating forms from spectroscopic hyper-spectra have …
Published in Recent Trends in Electronics Communication Systems · Vol. 6, Issue 3, 2019 · pp. 26–31 Read article
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Advanced Eye State Analysis for Bus Driver Fatigue Detection
Abstract: By using this method, we want to increase road safety by reducing the number of accidents caused by drowsy driving. The automatic identification of driving weariness is handled by this technology, which is based on optical data and artificial intelligence. We locate, track, and look at the driver's face and eyes to measure PERCLOS (% of eye closure) with Soft Max for the neural transfer function. Driver fatigue is one …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 1, 2023 · pp. 33–37 Read article
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An Augmented Reality-based Application
Abstract: Abstract: This paper is the art of applying 3D design and to implement the computer-generated 3D environment to our real- world environment using the latest augmented reality (AR) technology for entertainment or for educational or experimental purposes. Through this project we want to design and build an application and a game which helps to augment the computer-simulated environment into our real-world and which is a very latest and fastest growing …
Published in Current Trends in Information Technology · Vol. 9, Issue 3, 2019 · pp. 14–39 Read article
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Testing the Efficiency of Background Subtraction Techniques
Abstract: In many video surveillance applications, for instance, detection of abandoned/stolen items or parked vehicles, the detection of desk-sure foreground items is an important task. In this work, we recommend the implementation of a green item detection algorithm that may be employed in actual time embedded devices because of its fast processing. The morphological approach is used for similarly processing to remove noise and to maintain the form of transferring object. …
Published in Current Trends in Information Technology · Vol. 11, Issue 2, 2021 · pp. 29–38 Read article
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Design of Smart Filter for Impulsive Noise Cancellation in Images
Abstract: Noise is nature inherent. It can affect any type of signal or noise at the time of acquisition. Impulsive is one of the noise which appears suddenly with the signal or noise. In this paper, we have considered the images affected by impulsive noise. A filter based on fuzzy logic is designed and it can suppress noise in any environment at any time. It is based on standard fuzzy rules …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 56–65 Read article
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Dimensionality Reduction using Eigenfaces and Fisherfaces for Face Recognition Applications using Kernel LMS Algorithm
Abstract: AbstractFace recognition is an intricate numerical technology in computer systems that can support recognition of human faces using methods such as principal component analysis (PCA), linear discriminant analysis (LDA), etc. by comparing the given facial uniqueness with the already available face database. PCA and LDA are classical feature extraction and data representation techniques used in face recognition algorithm involving unsupervised statistical methods. The 2-D facial image can be transformed into …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 29–55 Read article
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A Study on Computer Vision: Techniques, Algorithms and Application
Abstract: This study gives a brief explanation or idea about what computer vision is and how it is implemented. Computer vision has so many different applications which are being used and are also under development for future enhancements. All this information can be found here in this research work. Computer vision is a branch of computer science that aimed at developing digital system, which is capable of processing, analysing, and comprehending …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 1–8 Read article
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Enhancement of Proton Density Weighted Magnetic Resonance Images using Singular Value Decomposition in Wavelet Domain
Abstract: Image enhancement techniques for low contrast medical images using Singular Value Decomposition (SVD) in Discrete Wavelet Transform domain (SVD-DWT) are proposed in the literature. However, shift sensitivity, poor directionality and a lack of phase information are the primary drawbacks of the discrete wavelet transform. This work introduces a novel method of image enhancement (SVD-SWT) using SVD in Stationary Wavelet Transform (SWT) to improve the contrast of Proton Density weighted Magnetic …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 2, 2022 · pp. 10–21 Read article
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Comparison of Forward Head Posture in Subjects With and Without Neck Pain
Abstract: An observational study was conducted to compare forward head posture in subjects with and without neck pain. A total of 200 subjects, both male and female aged between 18 to 30 years were recruited for the study on the basis of inclusion and exclusion criteria after obtaining an informed consent. The subjects were divided into two groups—Groups A (forward head posture without neck pain) and Group B (forward head posture …
Published in Research and Reviews: A Journal of Health Professions · Vol. 4, Issue 3, 2014 · pp. 13–16 Read article
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Analysis of Image Coders
Abstract: AbstractIn this paper we work on the performance analysis of well-known image compression algorithm i.e., wavelet based image compression which is Set Partition in Hierarchical Tree (SPIHT) and also no list SPIHT (NLS). As SPIHT uses three variable lists which require large hardware implementation and hence extra cost and high encoding and decoding time is required but NLS use marker instead of list which are placed on lower nodes of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 3, 2016 · pp. 26–30 Read article
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Q-Metrics for Early Detection of Cervical Cancer
Abstract: The most prevalent form of cancer in women worldwide is uterine cervical cancer. Through screening programs aimed at detecting precancerous lesions most cases of cervical cancer can be prevented. In this article, Q-metrics has been proposed for carrying out automated image segmentation of uterine cervical cancer. The validation of detection of cervical lesions is an important issue in medical image processing because it has a specific impact on surgical planning. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 26–30 Read article
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Data Embedding Technique for Palette Scale Image using Derived Genetic Algorithm (DEP-DGA)
Abstract: Steganography method is used for exchanging the hidden information. It is defined as the study of hidden communication that deals with the existence of communicated messages. The existing methodology for minimizing additive distortion in steganography fails in measuring the level of distortion for the given source palette digital image. Perfect sphere shaped palette digital images are not suitable for selection, as cover models because the hidden data might be easily …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 2, 2014 · pp. 1–10 Read article
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Extracting Alphabets and Numbers from License Plate using Mean Value
Abstract: Segmentation plays a significant role in computer vision and its related applications of image processing. Segmentation is actually a process of partitioning a digital image into multiple segments (sets of pixels) to simplify and/or change the representation of an image into more meaningful and easier to analyze. This paper presents a method of license plate extraction using segmentation method and mean value of the images. We extracted the numbers and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 1–8 Read article
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Automatic Facial Recognition Using Adaptive Modelling of Illumination Field for Shape Recovery of Micro Facial Features
Abstract: In this study, we present an innovative framework to resolve the issue of confounding effects caused by variation of illumination in the scenario of face recognition. The proposed framework involves a mathematically modelled adaptive algorithm which augments the pixels sets of facial images with realistically simulated illumination field. This enhances the recognition rate and subsequently its performance in a way independent of classifier mode for each of its facial parameters. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 19–24 Read article