In order to obtain encrypted image with optimal correlation coefficient, we propose a new evolutionary-based image encryption scheme in this paper, based on DNA coding, chaotic systems, and a genetic algorithm (GA). F...
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Robust classification strongly depends on the combination of properly chosen features and the classification algorithm. this paper investigates an autoencoder for feature fusion together with recurrent neural networks...
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this paper presents a new combined local and global transform domain-based feedback image enhancement algorithm for medical diagnosis, treatment, and clinical research. the basic idea in using local alfa-rooting metho...
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Endoscopy is a process that allows viewing/ visualize the inside of a human body. In this article, we propose a specular reflection detection algorithm for endoscopic images that utilizes intensity, saturation and gra...
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the evolution of modern sensors for image acquisition brings as much obstacles as many possibilities to obtain multidimensional data with high resolution and rich information. One of the most perceptible destructive f...
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image classification is a computer vision task that has several applications in diverse fields like security, biology or medicine;and, currently, deep learning techniques have become the state-of-the-art to create ima...
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In a typical manufacturing setup, field sensors are used to detect the presence of moving material on the production line. Sensory information is interfaced with a centralized control systems for continuous and long d...
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ISBN:
(纸本)9781728129273
In a typical manufacturing setup, field sensors are used to detect the presence of moving material on the production line. Sensory information is interfaced with a centralized control systems for continuous and long distance monitoring. However, the field sensors are prone to failures and may cause frequent down-times which in turn causes reduction in productivity. In this paper, a practical and comprehensive visual inspection system is proposed to automatically control the plant operations. the proposed approach improves productivity and solves several challenges including the speed of execution to support real-time operations, number and choice of imageprocessing stages as well as associated techniques and algorithms. the presented solution inspects a production process deployed in metal industry and detects the moving rods on a conveyor platform. the shape of the moving rods is characterized using a combination of GrabCut segmentation, and clustering-based imagethresholding methods. To detect and track the movement of rods, proximity contours are identified using low-level pixel information of only two images: one when the conveyor is fully occupied withthe rods and the other when the conveyor is empty. Further, this visual sensory information is used to automatically generate control logic for tracking and monitoring a conveyor platform and can be smoothly integrated with industrial control system enabling real-time closed loop operations.
Nowadays, intelligent mobile devices become most wide mobile multimedia terminals. But limited by performance and battery life, traditional audio architectures and algorithms cannot meet increasingly complex processin...
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Spatial image quality metrics designed for camera systems generally employ the Modulation Transfer Function (MTF), the Noise Power Spectrum (NPS) and a visual contrast detection model. Prior art indicates that scene-d...
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Efficient scheduling algorithms play an essential part in heterogeneous computing systems (HeCS) to achieve high performance. So we proposed a new efficient dynamic multi-strategies scheduling algorithm (DMS). the bas...
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