Feature Extraction-based Medical Image Watermarking Using Fuzzy-based Median Filter

Balasamy, K.; Shamia, D.

doi:10.1080/03772063.2021.1893231

Cited by 43 publications

(10 citation statements)

References 30 publications

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“…Noise reduction is required in the obtained image to remove additional pixel information, since the extra pixels make detection more difficult [45][46][47]. Only the most appropriate filter that incorporates defogging techniques is applied to the specific noise for good results [48].…”

Section: Images Pre-processingmentioning

confidence: 99%

Vehicle Detection and Classification via YOLOv8 and Deep Belief Network over Aerial Image Sequences

Al Mudawi,

Qureshi,

Abdelhaq

et al. 2023

Sustainability

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Vehicle detection and classification are the most significant and challenging activities of an intelligent traffic monitoring system. Traditional methods are highly computationally expensive and also impose restrictions when the mode of data collection changes. This research proposes a new approach for vehicle detection and classification over aerial image sequences. The proposed model consists of five stages. All of the images are preprocessed in the first stage to reduce noise and raise the brightness level. The foreground items are then extracted from these images using segmentation. The segmented images are then passed onto the YOLOv8 algorithm to detect and locate vehicles in each image. The feature extraction phase is then applied to the detected vehicles. The extracted feature involves Scale Invariant Feature Transform (SIFT), Oriented FAST and Rotated BRIEF (ORB), and KAZE features. For classification, we used the Deep Belief Network (DBN) classifier. Based on classification, the experimental results across the three datasets produced better outcomes; the proposed model attained an accuracy of 95.6% over Vehicle Detection in Aerial Imagery (VEDAI) and 94.6% over Vehicle Aerial Imagery from a Drone (VAID) dataset, respectively. To compare our model with the other standard techniques, we have also drawn a comparative analysis with the latest techniques in the research.

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Section: Images Pre-processingmentioning

confidence: 99%

Vehicle Detection and Classification via YOLOv8 and Deep Belief Network over Aerial Image Sequences

Al Mudawi,

Qureshi,

Abdelhaq

et al. 2023

Sustainability

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“…A picture is a demonstration of an article that has certain features that are utilized in image processing. Feature extraction and representation, feature selection for classification, and feature and visual classification, region of interest (ROI) analysis are among the medical image analysis tasks 35,36 . Feature selection is a technique for identifying the most significant features for a classification problem.…”

Section: Classification Techniques For Medical Image Analysismentioning

confidence: 99%

“…Feature extraction and representation, feature selection for classification, and feature and visual classification, region of interest (ROI) analysis are among the medical image analysis tasks. 35,36 Feature selection is a technique for identifying the most significant features for a classification problem. In the classification process, selecting correlated features for dimensionality reduction can enhance computational efficiency and classification performance.…”

Section: Classification Techniques For Medical Image Analysismentioning

confidence: 99%

A review on optimization techniques for medical image analysis

Kaur

Singh²

2022

Concurrency and Computation

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Data mining of medical imaging approaches makes it difficult to determine their value in the disease's insight, analysis, and diagnosis. Image classification presents a significant difficulty in image analysis and plays a vital part in computer-aided diagnosis. This task concerned the use of optimization techniques for the utilization of image processing, pattern recognition, and classification techniques, as well as the validation of image classification results in medical expert reports. The primary intention of this study is to analyze the performance of optimization techniques explored in the area of medical image analysis. For this motive, the optimization techniques employed in existing literature from 2012 to 2021 are reviewed in this study. The contribution of optimization-based medical image classification and segmentation utilized image modalities, data sets, and tradeoffs for each technique are also discussed in this review study. Finally, this review study provides the gap analysis of optimization techniques used in medical image analysis with the possible future research direction.

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“…Dr.M.Suchitra and her team utilized IOT for reduce the hassle in agriculture due to migration of people from one place to another place. The Internet of factors (IOT) is remodeling the agriculture permitting the farmers with the extensive variety of techniques consisting of precision and sustainable agriculture to face demanding situations in the field [3]. In [4], they have proposed little or very less technological development is found right here that has expanded the manufacturing performance extensively.…”

Section: Literature Surveymentioning

confidence: 99%

Real Time IOT-based Crop Protection and soil maintenance

Krishnaraj¹,

Padmini²,

Akalya³

et al. 2021

IJAERS

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Nowadays IOT is implemented in almost every field. IOT in agricultural field plays a major role. It is very easy to monitor and manage the water flow. The moisture level in the soil is measured using moisture level sensor. When the soil is dry and reaches the threshold point, the Cloud Service Brokerage triggers the relay to start the motor. Once the motor starts to pump, it pumps the water from a storage tank and the water flows to the field. pH sensor senses the pH level of the water.

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Feature Extraction-based Medical Image Watermarking Using Fuzzy-based Median Filter

Cited by 43 publications

References 30 publications

Vehicle Detection and Classification via YOLOv8 and Deep Belief Network over Aerial Image Sequences

Vehicle Detection and Classification via YOLOv8 and Deep Belief Network over Aerial Image Sequences

A review on optimization techniques for medical image analysis

Real Time IOT-based Crop Protection and soil maintenance

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