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1475 articles for “Performance”
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Image Authentication Using Digital Watermarking: A Survey
Abstract: Watermarking has a place with the data hiding field, has seen a ton of research intrigue as of late. Principle necessity of the Watermark is that it must be vigorous and impalpable. Heartiness of watermark as for each picture twisting can be assessed as far as effective recuperation of watermark. In the wake of recouping the watermark, the recuperated and unique watermarks are looked at by ascertaining of similitude factor …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 1, 2018 · pp. 18–30 Read article
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Compare Effect of Gaussian Noise on RBG Line
Abstract: Gaussian noise tends to come in digital images. It enters into images when there is low light condition or high light conditions. This paper deals with comparison of gaussian noise effect on red, green, blue line image by accounting Entropy, Signal to Noise Ratio, Peak Signal to Noise Ratio and Root Mean Square Error as performance parameters. This paper proves that Blue color is the least affected and green being …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 1, 2018 · pp. 1–6 Read article
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Artificial neural network based classification of varieties of thin and thick fabric images
Abstract: Abstract: The proposed work focuses on classification of varieties of thin and thick fabric materials from images. The morphological operations such as erosion and dilation are performed. Morphological features namely, avg_moments, average_area, roundness, max_area, average_perimeter, average_eccentricity, circularity and average_equivalent_diameter are extracted. The prediction is carried out using artificial neural network. The classification rates of 84.84% and 90.90% are obtained for thin and thick fabric images. The classification rates for varieties …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 1, 2018 · pp. 31–41 Read article
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An New Approach For Image Steganography Using LSB and BPSO Optimization
Abstract: Abstract Presently, the technologies are evolving with high speed and everyday new innovations are done. As large amount of information shared between different users over the internet therefore the sharing of information is increasing day by day. In the conventional techniques of image steganography the idea of DCT and LSB approaches are used. But this technique is not optimum for securing the information. Thus, the BPSO optimization technique is proposed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 27–36 Read article
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Image Denoising by Sigma Estimation based Convolution Neural Network
Abstract: Abstract Image denoising process gains more attention due to its effective denoising performance. This paper proposed the convolution feedforward network with sigma estimation and without sigma estimation to provide the prior information to the CNN and without sigma, it does not come to CNN. The outcomes with CNN and without CNN use image denoising and reduce the MSE and enhance the PSNR. Keywords: Image Denoising, Deep Learning, Convolution Neural Network …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 18–26 Read article
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Adaptive Visual Tracking for Human Motion Detection
Abstract: Abstract—Object detection is one of the fundamental steps for automated video analysis in many vision applications. Object detection in video is usually performed by background subtraction techniques. In the existing method they proposed object detection by pixel variation of the image from one frame to another and the background subtracted by the training process in the recorded videos. In the proposed method the object is detected in the live video …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 1–5 Read article
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Surveillance System Using UAV
Abstract: In today’s world, there is a growing need of security and protection for people. Even though the technologies are most advanced in current era, the much effected problem faced by every people in a country like India is, their own protection. The criminal activities on humans and animals are increased day-by-day. Also, disasters like natural and man-made causes lot of problems. The fate of these acts is uncontrollable. So, we …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 27–33 Read article
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Identifying the Age Using Face Image Using DWT, LBP, SVM and k-NN
Abstract: ABSTRACTThe research related to identifying the age using face images has become progressively more important, due to the fact it has a multiplicity of potentially helpful applications. In this paper we survey the complete age synthesis or age estimation from face images techniques. Automatic facial age identifying is one of the main issues in pattern recognition which shows the age of human according to her/his facial expressions. Basically, age detection/estimation …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 26–37 Read article
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Investigation and Classification of Cardiac MRI Images using Texture Analysis
Abstract: In order to quantify the myocardial viability after infarction, recent researches have developed new cardiac MRI protocol using particle contrast agents which highlight the different areas after infarction: i.e. the healthy area, the necrosed area and the two ischemic areas. Actually the researches are carried out on rodents micro cardiac MRI for which the obtained images are very noisy and present a very low contrast. In this paper, we analyse …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 37–41 Read article
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Image Processing Invisibility Cloak: A Review
Abstract: We have seen invisible people in stories, but in the world, it is still not proven that invisibility exists. This review explains the invisibility of anything with the help of various technologies. On many commonplace commercial objects, you can find difficult patterns and backdrops. Such textual data may be presented in a variety of scales, fonts, colours, and orientations. The very basic operations are performed to process the frames, which …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 51–57 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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Testing and Debugging for HRMS
Abstract: Software testing is a critical element of the ultimate review of specification design and coding. Testing of software leads to the uncovering of errors in the software functional and performance requirements are met .Testing also provides a good indication of software reliability and software quality as a whole. The result of different phases of testing are evaluated and then compared with the expected results. If the errors are uncovered they …
Published in International Journal of Software Computing and Testing · Vol. 2, Issue 1, 2016 · pp. 9–12 Read article
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Agribot: An Agriculture Robot
Abstract: Agribot is a robot designed for agricultural purpose. As one of the trends of development on automation and intelligence of agricultural machinery in the 21st century, we are applying the idea of robotics technology in agriculture, since robotics technology is used in many of the fields such as defense, surveillance, medical field, industries and so on. In this paper, the robot system is used to develop the process of cultivating …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 14–17 Read article
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Continuous Mining Approaches with Obsolete Database: A Review
Abstract: The sequential pattern mining on progressive databases is very incipient approach, in which many researchers progressively discover the patterns in period of interest. Period of interest is a sliding window perpetually advancing as the time goes by. As the focus of sliding window changes, the incipient items are integrated to the dataset of interest and obsolete items are abstracted from it and become au courant. In general, the subsisting proposals …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 1, 2018 · pp. 1–9 Read article
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Review of Feature Selection Methods and Semi Supervised Feature Selection Algorithms for Classification
Abstract: Current evolution in technology has resulted in tremendous growth of data with respect to dimensionality and sample size. Knowledge discovery from these high dimensional data are becoming cumbersome. Though powerful machine learning algorithms are prevalent, noisy data, imperfect sensing and collection of data leads to poor and defective knowledge discovery. Noise and redundant features cannot be circumvented due to which data collection process is biased. Dimensionality reduction techniques namely feature …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 39–51 Read article
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Detection of Hate Speech on Social Media Using Machine Learning
Abstract: As we know, social media platforms are the fastest method of communication because information is transmitted and received virtually instantaneously. Social media platforms' development radically altered how people communicate in our world, and one effect of these changes is a rise in inappropriate behaviors, like the use of derogatory language online. It might be challenging to express harsh or disrespectful ideas to someone right in the face. People believe it …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 1–6 Read article
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Breakout Room Escape: Design and Development of an Immersive Unity Game
Abstract: Three-dimensional (3D) game development is a complex and challenging process that requires expertise in various fields, including programming, art, and design. Due to its adaptability, userfriendly interface, and thorough documentation, Unity is a well-known game engine that is frequently used in the game development industry. This research paper aims to explore the process of developing a 3D game using Unity, focusing on the technical aspects of game development and the …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 20–30 Read article
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Fake News and Hate Speech Detection Using Deep Learning
Abstract: Due to the potential for such content to hurt both people and society as a whole, the issue of identifying fake news and hate speech on internet platforms has grown in importance in recent years. This problem has shown great potential for resolution through deep learning, a specific area of machine learning. In this research work, we examine recent studies on the application of deep learning methods for the identification …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 15–23 Read article
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Support Vector Machine-based Flower Image Classification for Commercial Applications
Abstract: Flowers are crucial raw materials in many industries, including pharmaceuticals and cosmetics. Classifying flowers manually is time-consuming, inconsistent, and requires professional judgment from a botanist. Computer-aided flower classification is a promising approach to this problem. Image classification often employs support vector machines (SVMs) as widely favored algorithms. This study evaluated the performance of SVMs for flower image classification. The results showed that SVMs can achieve good accuracy on this task, …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 44–53 Read article
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POWER GENERATION FROM MICROBIAL FUEL CELL
Abstract: Microbial fuel cells (MFCs) give new chances to the practical generation of vitality from biodegradable, decreased mixes. MFCs capacity on diverse starches additionally on complex substrates present in wastewaters. So far there is restricted data accessible about the vitality digestion system and nature of the microorganisms utilizing the anode as electron acceptor; few electron exchange instruments have been built up unequivocally. [3]-[6]. Depending on the operational parameters of the MFC, …
Published in International Journal of Analog Integrated Circuits · Vol. 1, Issue 2, 2015 · pp. 10–16 Read article