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1795 articles for “different”
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An Improved Approach for Edge Detection of Noisy Images
Abstract: Edge detection of images is a very serious challenge to the researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, an innovative edge detection methodology is presented, that computes the edges of different images using the combination of Bergholm-Rothwell-Sobel-Prewitt edge detectors …
Published in International Journal of Distributed Computing and Technology · Vol. 2, Issue 1, 2016 · pp. 7–13 Read article
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Edge Detection of Images: An Application of C-R Methodology
Abstract: In this paper, a novel edge detection technique which computes edges of different images using the concept of Center of Mass (COM) with Robert Edge Detector (COM-ROBERT) methodology is presented. The proposed method can be used as framework for multi-scale edge detectors for different images in image processing. Here the edge detection by COM with Robert edge detector methodology is compared with simply COM methodology. Keywords: Edge detection, center of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 9–13 Read article
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Combination of Sobel-Rothwell-Bergholm Edge Detectors: An Experimental Measure for Edge Detection of Images
Abstract: Edges of an image can be considered as a type of important information which can be extracted by applying several edge detectors with different techniques. Edge detection is a fundamental and crucial subject in computer vision and image processing. In this paper, a novel edge detection technique which computes edges of different images using the combination of Sobel-Rothwell-Bergholm edge detectors is presented. This method can be considered as template for …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 22–27 Read article
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Comparative Study of Classification Methods Based on Feature Reduced Microarray Gene-Expression Data
Abstract: Abstract Cancer is a very complex and clinical heterogeneous disease. Now a days the research into the diagnosis and treatment of cancer have become an important issue for researchers. Cancer microarray data normally consist of samples having large number of gene expression as features. For better result in cancer classification it is very important to select relevant features. In this paper, five different types of cancer datasets are used such …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 1–10 Read article
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An Experimental Analysis Using P-S-M Approach for Edge Detection of Color Images
Abstract: Abstract Edges of an image can be represented by using various edge detectors with different approaches. Edge detection is a very fundamental part in image processing and computer vision. In this paper, an emerging edge detection approach which computes edges of different images using the programmatic combination of Prewitt-Sobel-Morphological (PSM) edge detectors is presented. This approach can be used as framework for multi-scale edge detectors for a very wide range …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 18–23 Read article
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Edge Detection of Gray-Scale Images Using P-S-B Methodology: A Novel Approach
Abstract: Abstract Edge detection of images is a very serious challenge to the image processing researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, a novel edge detection methodology is presented, that computes the edges of different images using the combination of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 24–29 Read article
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Detection of PARD Attack Using Key Based Biometric Authentication System Based on Fingerprint Impression
Abstract: Biometric authentication plays a major role in security as these are by nature unique for every human. But the security is compromised when the pattern matching system is not accurate. Authentication system like fingerprint recognition is most commonly used biometric authentication system. In this paper, survey is done on fingerprint recognition techniques. And different approaches are studied in terms of accuracy and performance. As fingerprint may also contain noise; so, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 25–34 Read article
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Redundant Keypoint Elimination Using Redundancy Index on Basic SIFT Algorithm
Abstract: ABSTRACT Matching features across different images is a common problem in computer vision. For the images of different scales and rotations, there is the need of scale-invariant feature transform (SIFT). SIFT identifies the distinctive keypoints that are invariant to location, scale, rotation, robust to affine transformations (changes in scale, rotation, shear, and position) and changes in illumination, which are usable for object recognition. SIFT algorithm includes two main stages: feature …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 22–31 Read article
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Local Binary Patterns and Its Extended Variants
Abstract: ABSTRACTThis paper focuses on the Local Binary Patterns and its various important variants. LBP is a non-parametric descriptor and used to extract, analyze, recognize and classify the different modality images. It summarizes the local patterns of image characteristics efficiently. LBP and its many extended versions have been extensively used in numerous applications of computer vision, image processing, pattern recognition and biomedical field in recent years. Very discriminative and computationally efficient …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 13–25 Read article
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Human Mood Identification (Data Recording System)
Abstract: Researchers across a variety of fields are becoming more interested in a human-computer interface system for automatic facial emotion identification. In our project, an Automatic Facial Expression Recognition System (AFERS) which records emotion for physiological analysis has been proposed. The suggested process consists of four steps: Identifying every face in the frame is part of the first stage. We focus on each face and adjust it in such a way …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 1, 2022 · pp. 15–19 Read article
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Edge Detection of Images: An Analysis Using B-S-P Technique
Abstract: Abstract Edge detection of images is a very serious challenge to the researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, an innovative edge detection methodology is presented, that computes the edges of different images using the combination of Bergholm-Sobel-Prewitt edge …
Published in International Journal of Software Computing and Testing · Vol. 1, Issue 1, 2015 · pp. 21–26 Read article
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Edge Detection of Image: A Programmatic Combination of M-B-P Operators
Abstract: Edges of an image can be represented by using various edge detectors with different approaches. Edge detection is a very fundamental part in image processing and computer vision. In this paper, an emerging edge detection approach which computes edges of different images using the programmatic combination of Morphological-Bergholm-Prewitt (M-B-P) edge detectors is presented. This approach can be used as framework for multi-scale edge detectors for a very wide range of …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 13–20 Read article
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A Roadmap for Cloud Computing for Higher Education
Abstract: ABSTRACTAdvancement of technology provides new opportunities for improving teaching and learning. The new technology provides opportunity individual to personalize the environment where they work. Here in this paper we try to explore the educational potential of cloud computing to exploit its affordability in teaching in context of higher education. Cloud computing has important place for higher education both as powerful platform and computing tool. Though cloud computing provide number of …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 2, 2020 · pp. 36–44 Read article
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Progresses in Network Safety Worldview: A Survey
Abstract: This survey paper examines the different cautious models and mechanisms utilized so far in network safety. Digital protection is an exceptionally delicate issue, where advances are coordinated step by step. To effectively manage sophisticated attackers, it is necessary to cultivate strengths in the form of a cautious approach to the rapidly evolving landscape of malware and other attack methods. Specifically, digitization and data framework started a fight for strength on …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 31–38 Read article
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A Combined Cycle Power Plant Using Graph Theory and Systems Modelling-Review
Abstract: Graph theory is a well-established tool for the analysis of any system. For the graph theory system has to be divided in to sub systems and factors have to be identified for the analysis. In the present work some of the attributes are identified for the application of graph theory. A proper identification of the attributes helps in precise evaluation of selection of combined cycle power plant systems. As the …
Published in International Journal of Analog Integrated Circuits · Vol. 1, Issue 2, 2015 · pp. 38–42 Read article
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Multiple Input Bidirectional DC–DC Converter for DC Drive Applications
Abstract: Multiple input bidirectional DC–DC converter is presented in this paper. This converter is used as an auxiliary supply for a DC motor drive. Motoring action as well as regenerative braking take place due to the bidirectional power flow capability of the converter. The converter is more advantageous because of multiple input capability. This will reduce the components and so the size of the overall system. Moreover the converter can interface …
Published in International Journal of Analog Integrated Circuits · Vol. 4, Issue 1, 2018 · pp. 23–32 Read article
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Design of CMOS Operational Amplifier in 180 nm Technology
Abstract: In this paper, a method for designing a two stage Complementary Metal oxide semiconductor (CMOS) operational amplifier using 180 nm technology is suggested. CMOS technology is used in digital logic circuits, microprocessors and to construct integrated circuits. CMOS has almost no static power dissipation. This technology offers high, symmetrical noise margins, high input and low output impedance. An operational amplifier is a DC coupled amplifier which offers high gain and …
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 1, 2019 · pp. 5–14 Read article
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Using Hybrid Method of PSO and Firefly Techniques for ELD
Abstract: This project presented an effective and reliable FFA technique for the economic load dispatch (ELD) problem using the PSO technique. The final results obtained that is, Hybrid algorithm (using PSO and Firefly algorithm) are compared with PSO and Firefly and found to be encouraging. This Hybrid algorithm is applied to find out the minimum cost for different power demands. With the compared results, we obtain that Hybrid algorithm displayed better …
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 2, 2019 · pp. 6–20 Read article
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Transformation and Analysis of Wire line Networks to Wireless Networks Using OPNET Simulator
Abstract: The telecom sector is undergoing rapid changes and with the emergence of a new technologies competition to provide a different range of services has increased. As now the customers are more demanding and they need to get the services at a very fast rate and in minimum time. A race to get high speed data is becoming very high. So in order to survive it is very much necessary to …
Published in International Journal of Broadband Cellular Communication · Vol. 1, Issue 1, 2015 · pp. 12–27 Read article
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Comparative Analysis of Spectrum Sensing Technique in Cognitive Radio Network
Abstract: Cognitive Radio enhances the utilization of unused spectrum and globalized the radio environment for different band users that make use of various spectrum sensing techniques for transmission spectrum which involves spectrum usage characteristics across multiple dimensions such as time, space, frequency, and code and determining what type of signals are occupying the spectrum. In this project, cognitive radio spectrum sensing techniques are analyzed and Receiver operating characteristics of “Energy detection”, …
Published in International Journal of Broadband Cellular Communication · Vol. 3, Issue 1, 2017 · pp. 20–28 Read article