采用32位结构的Windows95比采用16位结构的Windows和DOS具有更强的多媒体能力,它不仅使PC机在多媒体环境下更容易使用,而且为开发新的多媒体应用、使用新的全数字AV格式创造了更加便利的条件。Windows95内含窗口图像程序Video for Windo...采用32位结构的Windows95比采用16位结构的Windows和DOS具有更强的多媒体能力,它不仅使PC机在多媒体环境下更容易使用,而且为开发新的多媒体应用、使用新的全数字AV格式创造了更加便利的条件。Windows95内含窗口图像程序Video for Windows(一种原来对Windows 3.1不够友好的附加应用程序),因此它具有即时直接显示图像的能力而无需使用附加软件来实现窗口图像的剪贴。展开更多
A new local cost function is proposed in this paper based on the linear relationship assumption between the values of the color components and the intensity component in each local image window,then a new quadratic ob...A new local cost function is proposed in this paper based on the linear relationship assumption between the values of the color components and the intensity component in each local image window,then a new quadratic objective function is derived from it and the globally optimal chrominance values can be computed by solving a sparse linear system of equations.Through the colorization experiments on various test images,it is confirmed that the colorized images obtained by our proposed method have more vivid colors and sharper boundaries than those obtained by the traditional method.The peak signal to noise ratio(PSNR) of the colorized images and the average estimation error of the chrominance values relative to the original images also show that our proposed method gives more precise estimation than the traditional method.展开更多
This paper proposes an algorithm that extracts features of back side of the vehicle and detects the front vehicle in real-time by local feature tracking of vehicle in the continuous images.The features in back side of...This paper proposes an algorithm that extracts features of back side of the vehicle and detects the front vehicle in real-time by local feature tracking of vehicle in the continuous images.The features in back side of the vehicle are vertical and horizontal edges,shadow and symmetry.By comparing local features using the fixed window size,the features in the continuous images are tracked.A robust and fast Haarlike mask is used for detecting vertical and horizontal edges,and shadow is extracted by histogram equalization,and the sliding window method is used to compare both side templates of the detected candidates for extracting symmetry.The features for tracking are vertical edges,and histogram is used to compare location of the peak and magnitude of the edges.The method using local feature tracking in the continuous images is more robust for detecting vehicle than the method using single image,and the proposed algorithm is evaluated by continuous images obtained on the expressway and downtown.And it can be performed on real-time through applying it to the embedded system.展开更多
One of the advantages of laser speckle is detecting microvascular through image processing. This paper proposes a new image processing method for laser speckle, adaptive window method that adaptively processes laser s...One of the advantages of laser speckle is detecting microvascular through image processing. This paper proposes a new image processing method for laser speckle, adaptive window method that adaptively processes laser speckle images in the space. Disadvantage of conventional fixed window method is that it uses the same window size regardless of target areas. Inherently laser speckle contains undesired noise. Thus a large window is helpful for removing the noise, but it results in low resolution of image. Otherwise a small window may detect micro vascular but it has limits in noise removal. To overcome this trade-off, the concept of adaptive window method is newly introduced to conventional laser speckle image analysis. In addition, the modified adaptive window method applied to other selection images. We have compared conventional Laser Speckle Contrast Analysis （LASCA） and its variants with the proposed method in terms of image quality and processing complexity, Moreover compared the result of the accompamed changing sdection images have also been compared.展开更多
Interactive picking is a fundamental task for processing and images. Combining two-dimensional （2D） and three-dimensional digital graphics （3D） views is an important trend in processing medical sliced-geometries. ...Interactive picking is a fundamental task for processing and images. Combining two-dimensional （2D） and three-dimensional digital graphics （3D） views is an important trend in processing medical sliced-geometries. With the goal of accurately picking points in sliced-geometries, we present a method to pick points interactively by combining 2D and 3D views of sliced-geometries. Four view windows are constructed to render sliced-geometries using medical imaging interaction toolkit （MITK）： three for 2D slices parallel to the XY, YZ, and XZ planes and one for surface rendering. Points picked in a view window can be rendered and modified in any window. After a point is picked, it is immediately converted into a world coordinate and stored. Points are only rendered and modified based on their world coordinates. This picking method can be used for fitting, observing, and measuring local regions. This method can also be used for interactive segments. Our experiment shows that the picking method is accurate and has a real-time picking effect.展开更多
文摘采用32位结构的Windows95比采用16位结构的Windows和DOS具有更强的多媒体能力,它不仅使PC机在多媒体环境下更容易使用,而且为开发新的多媒体应用、使用新的全数字AV格式创造了更加便利的条件。Windows95内含窗口图像程序Video for Windows(一种原来对Windows 3.1不够友好的附加应用程序),因此它具有即时直接显示图像的能力而无需使用附加软件来实现窗口图像的剪贴。
基金Supported by the National Natural Science Foundation of China(No.61073089)the Joint Funds of the National Natural Science,Foundation of China(No.U1304616)the Qinhuangdao Research&Development Program of Science&Technology(No.2012021A044)
文摘A new local cost function is proposed in this paper based on the linear relationship assumption between the values of the color components and the intensity component in each local image window,then a new quadratic objective function is derived from it and the globally optimal chrominance values can be computed by solving a sparse linear system of equations.Through the colorization experiments on various test images,it is confirmed that the colorized images obtained by our proposed method have more vivid colors and sharper boundaries than those obtained by the traditional method.The peak signal to noise ratio(PSNR) of the colorized images and the average estimation error of the chrominance values relative to the original images also show that our proposed method gives more precise estimation than the traditional method.
基金supported by the Brain Korea 21 Project in 2011 and MKE(The Ministry of Knowledge Economy),Korea,under the ITRC(Infor mation Technology Research Center)support program supervised by the NIPA(National IT Industry Promotion Agency)(NIPA-2011-C1090-1121-0010)
文摘This paper proposes an algorithm that extracts features of back side of the vehicle and detects the front vehicle in real-time by local feature tracking of vehicle in the continuous images.The features in back side of the vehicle are vertical and horizontal edges,shadow and symmetry.By comparing local features using the fixed window size,the features in the continuous images are tracked.A robust and fast Haarlike mask is used for detecting vertical and horizontal edges,and shadow is extracted by histogram equalization,and the sliding window method is used to compare both side templates of the detected candidates for extracting symmetry.The features for tracking are vertical edges,and histogram is used to compare location of the peak and magnitude of the edges.The method using local feature tracking in the continuous images is more robust for detecting vehicle than the method using single image,and the proposed algorithm is evaluated by continuous images obtained on the expressway and downtown.And it can be performed on real-time through applying it to the embedded system.
基金supported by the SEOUL R&BD NT070079,Korea,the ITRC(Information Technology Research Center)support program supervised by the ⅡTA(Institute for Information Technology Advancement)
文摘One of the advantages of laser speckle is detecting microvascular through image processing. This paper proposes a new image processing method for laser speckle, adaptive window method that adaptively processes laser speckle images in the space. Disadvantage of conventional fixed window method is that it uses the same window size regardless of target areas. Inherently laser speckle contains undesired noise. Thus a large window is helpful for removing the noise, but it results in low resolution of image. Otherwise a small window may detect micro vascular but it has limits in noise removal. To overcome this trade-off, the concept of adaptive window method is newly introduced to conventional laser speckle image analysis. In addition, the modified adaptive window method applied to other selection images. We have compared conventional Laser Speckle Contrast Analysis （LASCA） and its variants with the proposed method in terms of image quality and processing complexity, Moreover compared the result of the accompamed changing sdection images have also been compared.
文摘Interactive picking is a fundamental task for processing and images. Combining two-dimensional （2D） and three-dimensional digital graphics （3D） views is an important trend in processing medical sliced-geometries. With the goal of accurately picking points in sliced-geometries, we present a method to pick points interactively by combining 2D and 3D views of sliced-geometries. Four view windows are constructed to render sliced-geometries using medical imaging interaction toolkit （MITK）： three for 2D slices parallel to the XY, YZ, and XZ planes and one for surface rendering. Points picked in a view window can be rendered and modified in any window. After a point is picked, it is immediately converted into a world coordinate and stored. Points are only rendered and modified based on their world coordinates. This picking method can be used for fitting, observing, and measuring local regions. This method can also be used for interactive segments. Our experiment shows that the picking method is accurate and has a real-time picking effect.
