Network monitoring system responsive to changes in packet arrival variance and mean
    1.
    发明授权
    Network monitoring system responsive to changes in packet arrival variance and mean 有权
    响应于分组到达方差和平均值的变化的网络监控系统

    公开(公告)号:US07242668B2

    公开(公告)日:2007-07-10

    申请号:US10412127

    申请日:2003-04-11

    IPC分类号: G01R31/08

    摘要: A network monitoring system (10) for monitoring a network along which network traffic flows in a form of packets. The system comprises circuitry (36, 42) for receiving a packet communicated along the network and for determining whether the received packet satisfies a set of conditions. The system further comprises circuitry (36/30, 46), responsive to a determination that the received packet satisfies the set, for determining a measure, wherein the measure is determined over a defined time interval and comprises a ratio of packet arrival variance and a mean of packets arriving during the time interval and for comparing the measure to a threshold. Lastly, the system comprises circuitry (36, 52), responsive to the measure exceeding the threshold, for adjusting network resources.

    摘要翻译: 一种网络监视系统(10),用于监视网络流量以分组的形式流过的网络。 该系统包括用于接收沿着网络传送的分组并用于确定所接收的分组是否满足一组条件的电路(36,42)。 该系统还包括电路(36/30,46),响应于确定所接收到的分组满足该组,用于确定测量,其中在一定义的时间间隔内确定测量,并且包括分组到达方差和 在时间间隔期间到达的分组的意思,并将测量与阈值进行比较。 最后,系统包括响应于超过阈值的度量的电路(36,52),用于调整网络资源。

    Controlling the sharpness of a digital image
    2.
    发明授权
    Controlling the sharpness of a digital image 有权
    控制数字图像的清晰度

    公开(公告)号:US08928772B2

    公开(公告)日:2015-01-06

    申请号:US13623934

    申请日:2012-09-21

    IPC分类号: H04N5/228

    摘要: A method for selecting a digital image having controlled sharpness characteristics from a set of candidate digital images of a common scene, each digital image having different sharpness characteristics. An image segmentation process is used to segment each of the candidate digital images into a subject region and a background region. For each candidate digital image the subject and background regions are analyzed to determine an associated subject and background sharpness levels. An output digital image is selected by comparing the determined subject and background sharpness levels to respective aim subject and background sharpness levels. In some embodiments, the aim subject and background sharpness levels are defined in accordance with a scene type classification.

    摘要翻译: 一种从公共场景的候选数字图像的集合中选择具有可控锐度特性的数字图像的方法,每个数字图像具有不同的锐度特性。 使用图像分割处理将每个候选数字图像分割成主题区域和背景区域。 对于每个候选数字图像,分析主题和背景区域以确定相关联的对象和背景清晰度水平。 通过将确定的对象和背景清晰度水平与相应的目标对象和背景清晰度水平进行比较来选择输出数字图像。 在一些实施例中,根据场景类型分类来定义目标对象和背景清晰度水平。

    Adjusting the sharpness of a digital image
    3.
    发明授权
    Adjusting the sharpness of a digital image 有权
    调整数字图像的清晰度

    公开(公告)号:US08724919B2

    公开(公告)日:2014-05-13

    申请号:US13623927

    申请日:2012-09-21

    IPC分类号: G06K9/40

    摘要: The sharpness of a digital image is adjusted according to defined aim subject and background sharpness levels. An image segmentation process is used to segment an input digital image into a subject region and a background region. The subject and background regions are analyzed to determine corresponding subject and background sharpness levels. An enhanced digital image is formed wherein the sharpness of the subject region is adjusted responsive to the subject sharpness level and the aim subject sharpness level, and the sharpness of the background region is adjusted responsive to the background sharpness level and the aim background sharpness level. In some embodiments, the input digital image is analyzed to determined a scene type classification and the aim subject and background sharpness levels are defined in accordance with the determined scene type classification.

    摘要翻译: 根据定义的目标对象和背景清晰度水平来调整数字图像的清晰度。 使用图像分割处理将输入数字图像分割成对象区域和背景区域。 分析主题和背景区域以确定相应的对象和背景清晰度水平。 形成增强的数字图像,其中响应于被摄体清晰度水平和目标对象清晰度水平来调节对象区域的锐度,并且响应于背景清晰度水平和目标背景清晰度水平来调整背景区域的清晰度。 在一些实施例中,分析输入数字图像以确定场景类型分类,并且根据确定的场景类型分类来定义目标对象和背景清晰度水平。

    EVENT RECOGNITION USING IMAGE AND LOCATION INFORMATION
    4.
    发明申请
    EVENT RECOGNITION USING IMAGE AND LOCATION INFORMATION 有权
    使用图像和位置信息的事件识别

    公开(公告)号:US20100111428A1

    公开(公告)日:2010-05-06

    申请号:US12264277

    申请日:2008-11-04

    IPC分类号: G06K9/62

    摘要: A method of recognizing an event depicted in an image from the image and a location information associated with the image is disclosed. The method includes acquiring the image and its associated location information; using the location information to acquire an aerial image(s) correlated to the location information; identifying the event using both the image and the acquired aerial image(s); and storing the event in association with the image for subsequent use.

    摘要翻译: 公开了一种从图像识别图像中描绘的事件和与图像相关联的位置信息的方法。 该方法包括获取图像及其相关联的位置信息; 使用所述位置信息来获取与所述位置信息相关的空中图像; 使用图像和所获取的空间图像识别事件; 并将事件与图像相关联地存储以供后续使用。

    RECOGNIZING IMAGE ENVIRONMENT FROM IMAGE AND POSITION
    5.
    发明申请
    RECOGNIZING IMAGE ENVIRONMENT FROM IMAGE AND POSITION 有权
    从图像和位置识别图像环境

    公开(公告)号:US20090190797A1

    公开(公告)日:2009-07-30

    申请号:US12022361

    申请日:2008-01-30

    IPC分类号: G06K9/00

    摘要: A method of recognizing the environment of an image from an image and position information associated with the image includes acquiring the image and its associated position information; using the position information to acquire an aerial image correlated to the position information; identifying the environment of the image from the acquired aerial image; and storing the environment of the image in association with the image for subsequent use.

    摘要翻译: 从图像识别图像的环境和与图像相关联的位置信息的方法包括获取图像及其相关联的位置信息; 使用所述位置信息来获取与所述位置信息相关的空中图像; 从所获取的航空图像识别图像的环境; 并且将图像的环境与图像相关联地存储以供后续使用。

    ADJUSTING THE SHARPNESS OF A DIGITAL IMAGE
    6.
    发明申请
    ADJUSTING THE SHARPNESS OF A DIGITAL IMAGE 有权
    调整数字图像的锐度

    公开(公告)号:US20140086486A1

    公开(公告)日:2014-03-27

    申请号:US13623927

    申请日:2012-09-21

    IPC分类号: G06K9/34

    摘要: The sharpness of a digital image is adjusted according to defined aim subject and background sharpness levels. An image segmentation process is used to segment an input digital image into a subject region and a background region. The subject and background regions are analyzed to determine corresponding subject and background sharpness levels. An enhanced digital image is formed wherein the sharpness of the subject region is adjusted responsive to the subject sharpness level and the aim subject sharpness level, and the sharpness of the background region is adjusted responsive to the background sharpness level and the aim background sharpness level. In some embodiments, the input digital image is analyzed to determined a scene type classification and the aim subject and background sharpness levels are defined in accordance with the determined scene type classification.

    摘要翻译: 根据定义的目标对象和背景清晰度水平来调整数字图像的清晰度。 使用图像分割处理将输入数字图像分割成对象区域和背景区域。 分析主题和背景区域以确定相应的对象和背景清晰度水平。 形成增强的数字图像,其中响应于被摄体清晰度水平和目标对象清晰度水平来调节对象区域的锐度,并且响应于背景清晰度水平和目标背景清晰度水平来调整背景区域的清晰度。 在一些实施例中,分析输入数字图像以确定场景类型分类,并且根据确定的场景类型分类来定义目标对象和背景清晰度水平。

    PROVIDING IMPROVED HIGH RESOLUTION IMAGE
    7.
    发明申请
    PROVIDING IMPROVED HIGH RESOLUTION IMAGE 有权
    提供改进的高分辨率图像

    公开(公告)号:US20110216210A1

    公开(公告)日:2011-09-08

    申请号:US12716484

    申请日:2010-03-03

    申请人: Wei Hao

    发明人: Wei Hao

    IPC分类号: H04N5/228

    CPC分类号: H04N5/23248 G06T3/4053

    摘要: A method for producing an improved high resolution image is disclosed including capturing low resolution images and a high resolution image; combining the low resolution images to provide an aggregate low resolution image; reducing the resolution of the high resolution image and then interpolated to produce a blurred high resolution image; calculating an image difference map using the aggregate high resolution image and blurred high resolution image; and using the image difference map along with the aggregate high resolution image and the high resolution image to produce an improved high resolution image.

    摘要翻译: 公开了一种用于制造改进的高分辨率图像的方法,包括捕获低分辨率图像和高分辨率图像; 组合低分辨率图像以提供聚合低分辨率图像; 降低高分辨率图像的分辨率,然后内插以产生模糊的高分辨率图像; 使用聚合高分辨率图像和模糊高分辨率图像计算图像差异图; 并且使用图像差异图与聚合高分辨率图像和高分辨率图像一起产生改进的高分辨率图像。

    Detecting and classifying lesions in ultrasound images
    8.
    发明申请
    Detecting and classifying lesions in ultrasound images 有权
    超声图像检测和分类病变

    公开(公告)号:US20060120608A1

    公开(公告)日:2006-06-08

    申请号:US10994794

    申请日:2004-11-22

    IPC分类号: G06K9/62

    摘要: A method for determining a candidate lesion region within an ultrasound image. The method includes the steps of: accessing a digital ultrasound image of anatomical tissue; segmenting spatially contiguous pixels in the ultrasound image into a plurality of regions in accordance with substantially similar intensity values and spatial smoothness constraints; and selecting, from the plurality of regions, one or more candidate lesion regions having an intensity value lower than a pre-determined intensity value. In one arrangement, the one or more candidate lesion region is classified into at least one of the following classes: benign, malignant, or unknown.

    摘要翻译: 一种用于确定超声图像内的候选病变区域的方法。 该方法包括以下步骤:访问解剖组织的数字超声图像; 根据基本相似的强度值和空间平滑度约束将超声图像中的空间连续像素分割成多个区域; 以及从所述多个区域中选择具有低于预定强度值的强度值的一个或多个候选病变区域。 在一种布置中,一个或多个候选病变区域被分类为以下类别中的至少一个:良性,恶性或未知的。

    Detection of sky in digital color images
    9.
    发明申请
    Detection of sky in digital color images 有权
    数字彩色图像中天空的检测

    公开(公告)号:US20050147298A1

    公开(公告)日:2005-07-07

    申请号:US10747597

    申请日:2003-12-29

    摘要: A method of detecting sky in a digital color image having pixels is disclosed. The method includes identifying pixels from the digital color image representing an initial sky region; developing a model based on the identified sky pixels, wherein such model is a mathematical function that has inputs of pixel position and outputs of color; and using the model to operate on the digital color image to classify additional pixels not included in the initial sky region as sky.

    摘要翻译: 公开了一种在具有像素的数字彩色图像中检测天空的方法。 该方法包括从表示初始天空区域的数字彩色图像中识别像素; 基于所识别的天空像素开发模型,其中所述模型是具有像素位置和颜色输出的输入的数学函数; 并使用该模型对数字彩色图像进行操作,以将未包含在初始天空区域中的附加像素分类为天空。

    Determining the estimated clutter of digital images
    10.
    发明授权
    Determining the estimated clutter of digital images 有权
    确定数字图像的估计杂波

    公开(公告)号:US08897560B2

    公开(公告)日:2014-11-25

    申请号:US13624986

    申请日:2012-09-24

    IPC分类号: G06K9/00 G06K9/34

    CPC分类号: G06K9/00664

    摘要: A method for determining an estimated clutter level of an input digital image based on an inequality index. The inequality index is determined by analyzing the input digital image to determine a set of image features. The image features are associated with a set of designated reference features, and the inequality index is determined based on the statistical variation of the reference features. A set of scene content features relating to spatial structures or semantic content of the input digital image is determined by analyzing the input digital image. The estimated clutter is determined responsive to the inequality index and the scene content features.

    摘要翻译: 一种用于基于不等式指数来确定输入数字图像的估计杂波电平的方法。 通过分析输入数字图像来确定一组图像特征来确定不等式指数。 图像特征与一组指定的参考特征相关联,并且基于参考特征的统计变化来确定不等式指数。 通过分析输入数字图像来确定与输入数字图像的空间结构或语义内容相关的一组场景内容特征。 响应于不等式指数和场景内容特征确定估计的杂波。