机译:可见和红外图像的统一显着性检测框架
School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan 430074 China;
School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan 430074 China;
School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan 430074 China;
School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan 430074 China;
School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan 430074 China;
Computer vision; Saliency detection; Compressed sensing; Feature coefficients;
机译:使用双级图像分解通过显着性检测融合可见光和红外图像
机译:使用显着性检测的可见光图像和红外图像的两尺度图像融合
机译:基于冗余定向升降的小波和显着性检测的红外和可见图像融合
机译:通过Superpixel分割和突出区域检测可见和红外图像融合
机译:使用可见-近红外成像光谱法测定玫瑰花蕾煤中的黄铁矿-马铁矿和页岩粘土矿物中的硫和灰分。
机译:使用海德堡视网膜断层扫描仪图像检测青光眼进展的统一框架
机译:使用可见光和红外图像的融合方案,红外目标检测和视觉监控的位置