Multi-Focus Image Fusion Method for Vision Sensor Systems via Dictionary Learning with Guided Filter. [PDF]
Li Q, Yang X, Wu W, Liu K, Jeon G.
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Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation. [PDF]
Pelapur R +6 more
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Multi-focus image fusion using local variability
Dans cette thèse, nous nous intéressons aux méthodes de la fusion d'images multi focales. Cette technique consiste à fusionner plusieurs images capturées avec différentes distances focales de la même scène. Cela permet d'obtenir une image de meilleure qualité à partir des deux images sources. Nous proposons une méthode de fusion d'images s'appuyant sur
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Infrared and visible image fusion algorithm based on NSCT and improved FT saliency detection. [PDF]
Fan X, Kong F, Shi H, Guo Y.
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FID-YOLO: A pedestrian detection model integrating multispectral information in complex environments. [PDF]
Yang D, Zhang X, Wang P.
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Research on optimized multi-exposure image fusion method for improving information entropy in high-brightness region: Based on developing grayscale feature weight matrix. [PDF]
Qu D, Lin Y.
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An improved UAV image object detection algorithm combining multi-scale feature fusion and receptive-field attention-based convolution. [PDF]
Dong F, Gui B, Wang W, Fan W, Liu Q.
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A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis. [PDF]
Guan J +8 more
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Deep-learning based adaptive fusion of CC and MLO views for improved mammographic cancer diagnosis. [PDF]
Ramaraj SCS +4 more
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3D Road Defect Mapping via Differentiable Neural Rendering and Multi-Frame Semantic Fusion in Bird's-Eye-View Space. [PDF]
Xing H, Yang F.
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