This paper establishes a dual stereo vision system and uses Zhang39;s calibration method to calculate the homography matrix and various parameters of the binocular camera to achieve system correction. The effect of ...
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In this letter, we study the optimal policy for the guard-channel approach to call admission controls (CAC) in wireless cellular networks. Based on the Markov decision process (MDP) model, we show that the optimal pol...
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In this proposed article, we develop a fuzzy c-means algorithm based on relative entropy for segmentation of noisy volumetric brain MR images and introduce interval type-2 fuzzy membership functions by using local mem...
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Generative AI has received substantial attention in recent years due to its ability to synthesize data that closely resembles the original data source. While Generative Adversarial Networks (GANs) have provided innova...
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ISBN:
(数字)9783031537677
ISBN:
(纸本)9783031537660;9783031537677
Generative AI has received substantial attention in recent years due to its ability to synthesize data that closely resembles the original data source. While Generative Adversarial Networks (GANs) have provided innovative approaches for histopathological image analysis, they suffer from limitations such as mode collapse and overfitting in discriminator. Recently, Denoising Diffusion models have demonstrated promising results in computervision. These models exhibit superior stability during training, better distribution coverage, and produce high-quality diverse images. Additionally, they display a high degree of resilience to noise and perturbations, making them well-suited for use in digital pathology, where images commonly contain artifacts and exhibit significant variations in staining. In this paper, we present a novel approach, namely ViT-DAE, which integrates vision transformers (ViT) and diffusion autoencoders for high-quality histopathology image synthesis. This marks the first time that ViT has been introduced to diffusion autoencoders in computational pathology, allowing the model to better capture the complex and intricate details of histopathology images. We demonstrate the effectiveness of ViT-DAE on three publicly available datasets. Our approach outperforms recent GAN-based and vanilla DAE methods in generating realistic images.
To deal with the problems such as uneven illumination and unclear modelling in 3D reconstruction, an image enhancement algorithm combining improved Retinex and improved bilateral gamma in Lab color space is proposed. ...
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This work proposes an advanced repeated control method (RCM) for a frequency adaptable grid-connected inverter based on fuzzy current control. The primary goal of the suggested strategy is to lower total harmonic dist...
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This paper studies the passive localization and control of two-dimensional planar UAV swarm under velocity information and azimuth information. We propose a UAV swarm control algorithm based on azimuth information and...
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This paper explores deep learning methods for bridge surface defect detection, particularly an improved model based on YOLOv7. To address the detection of bridge-type defects, a Dual-Stream Attention Module (DSAM) and...
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This article mainly discusses the optimization of the process of 3D character design and production for 3D artists. We address the problems faced in the current 3D character design and production process, emphasizing ...
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For the current brightness gain and maximum output brightness adjustment method of image intensifier has low efficiency, time-consuming, low precision, and other problems, this paper firstly studies a communication pr...
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