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    • 5. 发明申请
    • System and method for backlit image detection
    • 用于背光图像检测的系统和方法
    • US20110044541A1
    • 2011-02-24
    • US12583624
    • 2009-08-24
    • William C. KressJonathan Yen
    • William C. KressJonathan Yen
    • G06K9/00
    • G06T7/0002G06T2207/10004G06T2207/30168
    • The subject application is directed to a system and method for detecting backlit images. Encoded color image data is first received into a computer having a processor and associated data storage. Histogram data is then calculated from the received encoded color image data, and a mid-tone range in normalized histogram data is then detected. A zone of normalized pixel counts within the mid-tone range is then selected. Data representing an entry point and an exit point of the normalized histogram data relative to the selected zone is then generated. A plateau area is detected in the histogram data in the selected zone between the entry point and the exit point. Thereafter, a backlit image detection signal is generated indicating whether a backlit image portion is present in the color image data according to the plateau detection.
    • 本申请涉及用于检测背光图像的系统和方法。 编码的彩色图像数据首先被接收到具有处理器和相关联的数据存储器的计算机中。 然后从接收到的编码彩色图像数据计算直方图数据,然后检测归一化直方图数据中的中间色调范围。 然后选择中音范围内的归一化像素计数区域。 然后生成表示归一化直方图数据相对于所选择的区域的入口点和出口点的数据。 在入口点和出口点之间的所选区域的直方图数据中检测到平台区。 此后,产生背光图像检测信号,指示根据平台检测在彩色图像数据中是否存在背光图像部分。
    • 6. 发明授权
    • Backlit scene type detection
    • 背光场景类型检测
    • US08634649B2
    • 2014-01-21
    • US13083286
    • 2011-04-08
    • Jonathan YenWilliam C. Kress
    • Jonathan YenWilliam C. Kress
    • G06K9/00H04N5/74
    • H04N1/00005H04N1/00037H04N1/00039H04N1/00047H04N1/00068H04N1/00082H04N1/00925
    • Systems and methods for backlit scene detection are described. The method includes performing a pre-test on an electronic image to determine that the electronic image does not include a disqualifying characteristic. Next, the method includes performing a type test on the electronic image to determine an image type of the electronic image from a first set of predetermined backlit image types. Next the method includes performing a post test on the electronic image to determine that the image darkness density does not exceed a predetermined density. Finally, the method includes performing a second post test on the electronic image to determine that the electronic image is one of a second set of predetermined backlit image types or that the edge percentage of the electronic image exceeds a predetermined percentage.
    • 描述背光场景检测的系统和方法。 该方法包括对电子图像执行预测试以确定电子图像不包括不合格特征。 接下来,该方法包括对电子图像执行类型测试以从第一组预定背光图像类型确定电子图像的图像类型。 接下来,该方法包括对电子图像进行后验测试以确定图像暗度密度不超过预定密度。 最后,该方法包括对电子图像执行第二次后测试以确定电子图像是第二组预定背光图像类型之一或电子图像的边缘百分比超过预定百分比。
    • 7. 发明申请
    • Backlit Scene Type Detection
    • 背光场景类型检测
    • US20120033890A1
    • 2012-02-09
    • US13083286
    • 2011-04-08
    • Jonathan YenWilliam C. Kress
    • Jonathan YenWilliam C. Kress
    • G06K9/46
    • H04N1/00005H04N1/00037H04N1/00039H04N1/00047H04N1/00068H04N1/00082H04N1/00925
    • Systems and methods for backlit scene detection are described. The method includes performing a pre-test on an electronic image to determine that the electronic image does not include a disqualifying characteristic. Next, the method includes performing a type test on the electronic image to determine an image type of the electronic image from a first set of predetermined backlit image types. Next the method includes performing a post test on the electronic image to determine that the image darkness density does not exceed a predetermined density. Finally, the method includes performing a second post test on the electronic image to determine that the electronic image is one of a second set of predetermined backlit image types or that the edge percentage of the electronic image exceeds a predetermined percentage.
    • 描述背光场景检测的系统和方法。 该方法包括对电子图像执行预测试以确定电子图像不包括不合格特征。 接下来,该方法包括对电子图像执行类型测试以从第一组预定背光图像类型确定电子图像的图像类型。 接下来,该方法包括对电子图像进行后验测试以确定图像暗度密度不超过预定密度。 最后,该方法包括对电子图像执行第二次后测试以确定电子图像是第二组预定背光图像类型之一或电子图像的边缘百分比超过预定百分比。
    • 8. 发明申请
    • SYSTEM AND METHOD FOR IMAGE FOG SCENE DETECTION
    • 用于图像雾化场景检测的系统和方法
    • US20090067714A1
    • 2009-03-12
    • US11851160
    • 2007-09-06
    • Jonathan YENWilliam C. Kress
    • Jonathan YENWilliam C. Kress
    • G06K9/00G06K9/34G06K9/40
    • G06K9/00664
    • The subject application is directed to a system and method for image fog scene detection. Electronic image data is first received and divided into image regions, with each region consisting of a plurality of pixels. Next, a comparison matrix is generated corresponding to each image region based upon a comparison of minimum intensity values associated with corresponding pixels to a threshold value. An entry of at least one of the comparison matrices is then tested for a preselected value. The received electronic image data is then identified as inclusive of a fog scene based upon the output of the test on the entry of the comparison matrix. Based upon the identification, fog scene detection data representing an identified fog scene is then generated.
    • 本申请涉及用于图像雾场景检测的系统和方法。 首先接收电子图像数据并将其划分为图像区域,每个区域由多个像素组成。 接下来,基于与相应像素相关联的最小强度值与阈值的比较,生成对应于每个图像区域的比较矩阵。 然后针对预选值测试至少一个比较矩阵的条目。 然后,基于对比较矩阵的输入的测试的输出,将接收到的电子图像数据识别为包含雾景。 基于识别,然后生成表示识别的雾场景的雾景检测数据。
    • 9. 发明申请
    • System and method for classification of digital images containing human subjects characteristics
    • 包含人类受试者特征的数字图像分类系统和方法
    • US20110116689A1
    • 2011-05-19
    • US12592110
    • 2009-11-19
    • Jonathan YenWilliam C. Kress
    • Jonathan YenWilliam C. Kress
    • G06K9/00
    • G06T7/90G06T7/73G06T2207/10024G06T2207/30201
    • The subject application is directed to a system and method for digital image classification. A first data set that includes a data range that corresponds to a first flesh tone range derived from measured flesh tones of subjects in a first ethnicity class is stored memory. A second data set having a data range that corresponds to a second flesh tone range derived from measured flesh tones of subjects in a second ethnicity unique to the first ethnicity is stored in memory. The data sets being encoded in a three dimensional color space. Image data is then received that includes a human subject. A facial region is isolated and image data in the facial region is compared with each data set via a processor operable with the memory. An image correction signal is generated representing whether the facial region aligns with the first data set or the second data set.
    • 本申请涉及用于数字图像分类的系统和方法。 第一数据集包括对应于在第一民族类中的受试者的测量的肉体色调导出的第一肉色调范围的数据范围,是存储存储器。 具有对应于由第一种族所特有的第二种族的被摄体的测量的肉色得到的第二肉色调范围的数据范围的第二数据集存储在存储器中。 数据集被编码在三维颜色空间中。 然后接收包括人类对象的图像数据。 面部区域被隔离,并且面部区域中的图像数据通过可与存储器一起操作的处理器与每个数据集进行比较。 生成表示面部区域是否与第一数据集或第二数据集对齐的图像校正信号。
    • 10. 发明申请
    • Image Contrast Enhancement
    • 图像对比度增强
    • US20110110589A1
    • 2011-05-12
    • US12941572
    • 2010-11-08
    • Jonathan YenWilliam C. Kress
    • Jonathan YenWilliam C. Kress
    • G06K9/00
    • G06T5/009G06T5/40
    • The subject application is directed to a system and method for image contrast enhancement. Input image comprised of digitally encoded image data is received into a data processor, including an associated data storage, and histogram data is generated corresponding to received image data. Acceptability of received image data is determined in accordance with a comparison of the histogram data to at least one preselected threshold value and a contrast adjustment including a white stretch, a black stretch, and a contrast stretch is performed on the input image in accordance with the histogram data.
    • 本申请涉及用于图像对比度增强的系统和方法。 包含数字编码图像数据的输入图像被接收到包括相关联的数据存储器的数据处理器中,并且对应于接收到的图像数据生成直方图数据。 根据直方图数据与至少一个预选阈值的比较和包括白拉伸,黑拉伸和对比拉伸的对比度调整,根据输入图像执行接收图像数据的可接受性 直方图数据。