With the continuous evolution of AI-generated images, the generalized detection of them has become a crucial aspect of AI security. Existing detectors have focused on cross-generator generalization, while it remains u...
Turbine is an important part of aero-engine, and the appearance of turbine blade crack affects the normal operation of aero-engine. It is very important to diagnose the blade crack of turbine, but due to the interfere...
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Multiobjective optimization problems (MOPs) are prevalent in machine learning, with applications in multi-task learning, fairness, robustness, and more. Unlike single-objective optimization, which aggregates objective...
Ultrafast ultrasound imaging technologies, such as ultrasound localization microscopy (ULM) and functional ultrasound (FUS), are gaining significant attention in the ultrasound field, driving the demand for higher fra...
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Ultrafast ultrasound imaging technologies, such as ultrasound localization microscopy (ULM) and functional ultrasound (FUS), are gaining significant attention in the ultrasound field, driving the demand for higher frame rates in open ultrasound systems. However, current open ultrasound systems face the challenge of balancing high imaging frame rates with the complexity of hardware architecture. This work reports the detailed implementation and hardware architecture of a 128-channel ultrafast ultrasound platform based on a single field-programmable gate array (FPGA). This platform connects the ultrasound card to a personal computer (PC) via peripheral component interconnect express (PCIe) 3.0, providing excellent compatibility. The platform uses custom instructions to implement flexible parameter configuration in the FPGA. It can control the transmission and reception of signals, the output of raw or beamformed RF data, and the sampling depth. Additionally, a 64 sub-aperture delay-and-sum (DAS) beamformer within the FPGA is implemented in the platform. This beamformer gives output as a 128x2048 image at 10000 frames/s (fps) using plane wave. The core components of the platform measure only 12x21 cm, achieving a compact design while delivering high-frame-rate (HFR) imaging.
The study focuses on the utilization of remote sensing data to analyze and detect deforestation patterns, with an emphasis on the extraction of key parameters such as vegetation cover change, forest loss, and land use...
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This project aims to develop a solar powered auto irrigation system that incorporates imageprocessing techniques to monitor and maintain the health of the plants. The system utilizes solar energy to power the irrigat...
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This work presents a new approach to crop quality monitoring that makes use of deep learning vision algorithms and a Single Board Computer (SBC). Our approach consists of a multi-step imageprocessing pipeline, wherei...
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ISBN:
(纸本)9798350367393;9798350367386
This work presents a new approach to crop quality monitoring that makes use of deep learning vision algorithms and a Single Board Computer (SBC). Our approach consists of a multi-step imageprocessing pipeline, wherein the ROI (Region of Interest) is first identified using a specialised Vegetation determination procedure (NDVI). Furthermore, geo-coordinates enabling accurate geospatial mapping of crop quality measurements. A 5-layer CNN classifier, as well as deep learning models for leaf classification and optimised picture filtering, augmentation, and segmentation, come next. The system's real-time capabilities were assessed using an Nvidia Jetson Nano Developer kit.
In recent years, imageprocessing based on stochastic resonance has received more and more attention. In this paper, a dynamic saturated nonlinear stochastic pooling network model based on adaptive stochastic resonanc...
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image quality evaluation is a key point in the research and application of imageprocessing. Most of the existing quality assessment methods are based on the pixel level and cannot fully reflect human visual character...
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Fairness in image restoration tasks is the desire to treat different sub-groups of images equally well. Existing definitions of fairness in image restoration are highly restrictive. They consider a reconstruction to b...
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