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11 articles for “Color Segmentation.”
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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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AI Based Virtual Mouse Using Hand Gestures
Abstract: The field of human-computer interaction has advanced significantly over the last several years. To incorporate the use of a mechanical mouse for controlling the mouse pointers with hand gestures and color recognition, we employed a Human-Computer Interaction technique in this project. Object identification, image processing, and color recognition are the three key areas in which our project's suggested technologies are applied. In this project, we will demonstrate a revolutionary method …
Published in Current Trends in Signal Processing · Vol. 13, Issue 2, 2023 · pp. 1–7 Read article
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Segments to Evaluate Remote Sensing Imagery
Abstract: AbstractSegmentation is scheme to rely accused formation by unconventional modeling. This is first step to increase resolution of as object specific formation. Petitioning to scale is algorithmic segmented binary pixel grouping between two subjectively heterotypic forms. Nevertheless noise free has favored grouping of pixels so as comparable to real object. Parameters for segment scale are typified shape like cube or circle, color, compactness and growth of image when subjected towards …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 19–22 Read article
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Nail Image Processing for Early Symptom Detection of Diseases based on Supervised Learning
Abstract: Digital Image Processing of human nail can be used for the prediction of various systemic and dermatological diseases. The proposed system – Nail Image Processing System using SVM (NIPS-S) helps us to create a model for the analysis of human nail and predict various diseases. The input to the proposed system is the Human Palm Image. The nail portion is segmented and a combination of nail color, shape and texture …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 3, 2017 · pp. 49–61 Read article
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AGRISMART: Crop and Soil Management System
Abstract: Agriculture has played a crucial role in developing countries where the majority of the rural population relies on it for their livelihoods. A finer-grade crop classification has become crucial in the context of precision agriculture. In recent years, the volume of open image data has grown significantly. This can be used in combination with machine learning techniques to classify crop types in the agricultural industry. The proposed crop species recognition …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 50–55 Read article
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Digital Watermarking Schemes for Authorization of Color Images using DCT
Abstract: AbstractDigital image processing is growing field. Digital image processing operations are mainly divided into three major categories: Image enhancement, Image compression and Image segmentation. Digital Watermarking comes under Image Segmentation. The present paper proposes the technique for the digital watermarking for digital multimedia. The growth in e-world which is coupled with computer network, world wide web and more over exponential advancement in computer performance. All these technologies has facilitated the …
Published in Journal of Computer Technology & Applications · Vol. 4, Issue 3, 2013 · pp. 15–20 Read article
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The Evolution of Bio Crypt Keys: From Concept to Implementation
Abstract: With the rapid increase in data exfiltration due to cyber-attacks, Covert Timing Channels (CTCs) have emerged as a significant and sophisticated network security threat. These channels exploit inter-arrival times of data packets to exfiltrate sensitive information from targeted networks. Detecting CTCs increasingly relies on machine learning techniques, which use statistical metrics to differentiate between malicious (covert) and legitimate (overt) traffic flows. However, as cyber-attacks become more adept at evading detection …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 38–45 Read article
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Image Denoising and Various Techniques: Survey
Abstract: Whenever an image is formed, various factors like lightning which includes its source, distance, intensity, and the camera characteristics, which included the sensor responses, lenses, and so on, affect the overall appearance of the image. The noise is one of the key components in this. It is important to remove noise in such a way that the overall quality is maintained and there is no loss of image information. There …
Published in Current Trends in Information Technology · Vol. 12, Issue 3, 2022 · pp. 6–11 Read article
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Modernized Art for a Smarter Environment
Abstract: Gesture recognition is a technology that uses the mathematical algorithms to identify human gestures. Gesture recognition recognizes the hand, tracks its movements, and provides information about hand position, orientation, and finger flux. This research work describes a sophisticated and user-friendly Human Computer Interaction (HCI) technology that employs the Raspberry Pi to easily translate user intentions into corresponding commands and output. The proposed system overcomes the disadvantages present in the existing …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 1, 2022 · pp. 7–14 Read article
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Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
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A Survey of Seasonal-based Movie Recommendations Using Machine Learning Through a Hybrid Approach with User Interest in Various OTT Platforms
Abstract: No matter their age, gender, race, color, or region, everyone enjoys watching films particularly during festival season. We are all, in the most basic sense, connected to one another through this beautiful medium, but what really grabs attention is the fact that, regardless of how unique our choices and combinations are in terms of picture show preference, one thing remains constant. Certain people have a preference for certain types of …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 1, 2024 · pp. 24–29 Read article