公开(公告)号：US20080144892A1

公开(公告)日：2008-06-19

申请号：US11948026

申请日：2007-11-30

申请人： Juwei Lu ,  Mohanaraj Thiyagarajah ,  Hui Zhou

发明人： Juwei Lu ,  Mohanaraj Thiyagarajah ,  Hui Zhou

IPC分类号： G06K9/00 ,  G06F15/00

CPC分类号： G06K9/00228

摘要： Converting a digital image from color to gray-scale. In one example embodiment, a method for converting a digital image from color to gray-scale is disclosed. First, an unconverted pixel having red, green, and blue color channels is selected from the color digital image. Next, the red color channel of the pixel is multiplied by α. Then, the green color channel of the pixel is multiplied by β. Next, the blue color channel of the pixel is multiplied by γ. Then, the results of the three multiplication operations are added together to arrive at a gray-scale value for the pixel. Finally, these acts are repeated for each remaining unconverted pixel of the color digital image to arrive at a gray-scale digital image. In this example method, α+β+≈1 and α>β.

摘要翻译： 将数字图像从颜色转换为灰度。 在一个示例实施例中，公开了一种将数字图像从彩色转换成灰度级的方法。 首先，从彩色数字图像中选择具有红色，绿色和蓝色通道的未转换像素。 接下来，将像素的红色通道乘以α。 然后，像素的绿色通道乘以β。 接下来，将像素的蓝色通道乘以伽马。 然后，将三个乘法运算的结果相加在一起，得到像素的灰度值。 最后，对于彩色数字图像的每个剩余的未转换像素重复这些动作，以得到灰度数字图像。 在此示例中，alpha + beta +≈1和alpha>β。

公开(公告)号：US07840037B2

公开(公告)日：2010-11-23

申请号：US11684478

申请日：2007-03-09

申请人： Juwei Lu ,  Hui Zhou ,  Mohanaraj Thiyagarajah

发明人： Juwei Lu ,  Hui Zhou ,  Mohanaraj Thiyagarajah

IPC分类号： G06K9/00 ,  G06K9/48 ,  G06K9/68 ,  G06K9/70

CPC分类号： G06K9/00234 ,  G06K9/00248

摘要： A method and system for efficiently detecting faces within a digital image. One example method includes identifying a digital image comprised of a plurality of sub-windows and performing a first scan of the digital image using a coarse detection level to eliminate the sub-windows that have a low likelihood of representing a face. The subset of the sub-windows that were not eliminated during the first scan are then scanned a second time using a fine detection level having a higher accuracy level than the coarse detection level used during the first scan to identify sub-windows having a high likelihood of representing a face.

摘要翻译： 一种用于有效检测数字图像内的面部的方法和系统。 一个示例性方法包括识别由多个子窗口组成的数字图像，并使用粗略检测水平执行数字图像的第一次扫描，以消除具有低的表示脸部可能性的子窗口。 然后使用具有比在第一次扫描期间使用的粗略检测级别更高的精度水平的精细检测级别来第二次扫描在第一次扫描期间未被消除的子窗口的子集，以识别具有高似然性的子窗口 代表一个脸。

公开(公告)号：US20080285849A1

公开(公告)日：2008-11-20

申请号：US11750099

申请日：2007-05-17

申请人： Juwei Lu ,  Hui Zhou ,  Mohanaraj Thiyagarajah

发明人： Juwei Lu ,  Hui Zhou ,  Mohanaraj Thiyagarajah

IPC分类号： G06K9/46

CPC分类号： G06K9/00234

摘要： A method and system for scanning a digital image for detecting the representation of an object, such as a face, and for reducing memory requirements of the computer system performing the image scan. One example method includes identifying an original image and downsamples the original image in an x-dimension and in a y-dimension to obtain a downsampled image that requires less storage space than the original digital image. A first scan is performed of the downsampled image to detect the representation of an object within the downsampled image. Then, the original digital image is divided into at least two image blocks, where each image block contains a portion of the original digital image. A second scan is then performed of each of the image blocks to detect the representation of the object within the image blocks.

摘要翻译： 一种用于扫描数字图像以检测诸如面部的对象的表示以及用于减少执行图像扫描的计算机系统的存储器需求的方法和系统。 一个示例性方法包括识别原始图像并且以x维度和y维度对原始图像进行下采样以获得比原始数字图像更少的存储空间的下采样图像。 执行下采样图像的第一扫描以检测下采样图像中的对象的表示。 然后，原始数字图像被分成至少两个图像块，其中每个图像块包含原始数字图像的一部分。 然后对每个图像块执行第二扫描以检测图像块内的对象的表示。

公开(公告)号：US20070228171A1

公开(公告)日：2007-10-04

申请号：US11390653

申请日：2006-03-28

申请人： Mohanaraj Thiyagarajah

发明人： Mohanaraj Thiyagarajah

IPC分类号： G06K7/10

CPC分类号： G06K7/14 ,  G06K7/1417

摘要： A method of locating and decoding a two-dimensional machine-readable symbol in a digital image, where the symbol has three finder patterns adjacent respective corners of the symbol, takes into account the possibility of skew and pitch when delineating the symbol in the digital image by estimating the unknown fourth corner based on lines passing through known symbol edge points. On the basis of the delineating, a reference grid is mapped to the digital image and a bit stream is extracted based on the mapping.

摘要翻译： 一种在数字图像中定位和解码二维机器可读符号的方法，其中符号具有与符号的相应角相邻的三个取景器图案，考虑了在数字图像中描绘符号时的偏斜和间距的可能性 通过基于通过已知符号边缘点的线来估计未知第四角。 在描绘的基础上，将参考网格映射到数字图像，并且基于映射提取比特流。

公开(公告)号：US07983480B2

公开(公告)日：2011-07-19

申请号：US11750099

申请日：2007-05-17

申请人： Juwei Lu ,  Hui Zhou ,  Mohanaraj Thiyagarajah

发明人： Juwei Lu ,  Hui Zhou ,  Mohanaraj Thiyagarajah

IPC分类号： G06K9/36

CPC分类号： G06K9/00234

摘要： A method and system for scanning a digital image for detecting the representation of an object, such as a face, and for reducing memory requirements of the computer system performing the image scan. One example method includes identifying an original image and downsamples the original image in an x-dimension and in a y-dimension to obtain a downsampled image that requires less storage space than the original digital image. A first scan is performed of the downsampled image to detect the representation of an object within the downsampled image. Then, the original digital image is divided into at least two image blocks, where each image block contains a portion of the original digital image. A second scan is then performed of each of the image blocks to detect the representation of the object within the image blocks.

摘要翻译： 一种用于扫描数字图像以检测诸如面部的对象的表示以及用于减少执行图像扫描的计算机系统的存储器需求的方法和系统。 一个示例性方法包括识别原始图像并且以x维度和y维度对原始图像进行下采样以获得比原始数字图像更少的存储空间的下采样图像。 执行下采样图像的第一扫描以检测下采样图像中的对象的表示。 然后，原始数字图像被分成至少两个图像块，其中每个图像块包含原始数字图像的一部分。 然后对每个图像块执行第二扫描以检测图像块内的对象的表示。

公开(公告)号：US20090194590A1

公开(公告)日：2009-08-06

申请号：US12023590

申请日：2008-01-31

申请人： Mohanaraj Thiyagarajah

发明人： Mohanaraj Thiyagarajah

IPC分类号： G06K7/10

CPC分类号： G06K7/14 ,  G06K7/1456

摘要： A method and system for determining an orientation of a data-encoding symbol, such as a PDF417 bar-code symbol, and for decoding the encoded data. One example method may include detecting an encoded data sequence at a first location of the symbol and at a second location of the symbol. The symbol orientation may be determined at least partially based on the first and second locations. Strings of data encoded in the symbol may then be decoded by processing the strings to generate indices and accessing a codeword array using the indices to look up codewords corresponding to the strings. A match between a string and a codeword may be verified with data in the codeword array.

摘要翻译： 一种用于确定诸如PDF417条形码符号的数据编码符号的取向并用于解码编码数据的方法和系统。 一个示例性方法可以包括在符号的第一位置处和在符号的第二位置处检测编码数据序列。 可以至少部分地基于第一和第二位置来确定符号取向。 然后可以通过处理字符串来解码编码在符号中的数据的字符串，以生成索引并使用索引访问码字阵列，以查找与该字符串对应的码字。 可以使用码字阵列中的数据来验证字符串和码字之间的匹配。

公开(公告)号：US20060043189A1

公开(公告)日：2006-03-02

申请号：US10930596

申请日：2004-08-31

申请人： Sachin Agrawal ,  Derek Kwok ,  Mohanaraj Thiyagarajah ,  Ian Clarke

发明人： Sachin Agrawal ,  Derek Kwok ,  Mohanaraj Thiyagarajah ,  Ian Clarke

IPC分类号： G06K7/10

CPC分类号： G06K7/14

摘要： A method of determining the vertices of a character in a two-dimensional barcode symbol image includes tracing a contour around a character. The contour is examined and pixels therealong believed to be vertices of the character are determined. The relative positions of the determined pixels are compared to determine if they satisfy a threshold. If the relative positions of the determined pixels satisfy the threshold, the determined pixels are designated as the vertices of the character. If the relative positions of the determined pixels satisfy the threshold, the determined pixels are designated as the vertices of the character. If the relative positions of the determined pixels do not satisfy the threshold, new pixels along the contour are selected using geometric relationships between the determined pixels to replace determined pixels that are not vertices of the character.

摘要翻译： 确定二维条形码符号图像中的角色的顶点的方法包括在字符周围追踪轮廓。 检查轮廓，并确定被认为是角色的顶点的像素。 比较确定的像素的相对位置以确定它们是否满足阈值。 如果所确定的像素的相对位置满足阈值，则将所确定的像素指定为角色的顶点。 如果所确定的像素的相对位置满足阈值，则将所确定的像素指定为角色的顶点。 如果确定的像素的相对位置不满足阈值，则使用确定的像素之间的几何关系来选择沿着轮廓的新像素，以替换不是字符顶点的确定像素。

公开(公告)号：US08313029B2

公开(公告)日：2012-11-20

申请号：US12023590

申请日：2008-01-31

申请人： Mohanaraj Thiyagarajah

发明人： Mohanaraj Thiyagarajah

IPC分类号： G06K7/10

CPC分类号： G06K7/14 ,  G06K7/1456

摘要： A method and system for determining an orientation of a data-encoding symbol, such as a PDF417 bar-code symbol, and for decoding the encoded data. One example method may include detecting an encoded data sequence at a first location of the symbol and at a second location of the symbol. The symbol orientation may be determined at least partially based on the first and second locations. Strings of data encoded in the symbol may then be decoded by processing the strings to generate indices and accessing a codeword array using the indices to look up codewords corresponding to the strings. A match between a string and a codeword may be verified with data in the codeword array.

摘要翻译： 一种用于确定诸如PDF417条形码符号的数据编码符号的取向并用于解码编码数据的方法和系统。 一个示例性方法可以包括在符号的第一位置处和在符号的第二位置处检测编码数据序列。 可以至少部分地基于第一和第二位置来确定符号取向。 然后可以通过处理字符串来解码编码在符号中的数据的字符串，以生成索引并使用索引访问码字阵列，以查找与该字符串对应的码字。 可以使用码字阵列中的数据来验证字符串和码字之间的匹配。

公开(公告)号：US07945075B2

公开(公告)日：2011-05-17

申请号：US11948026

申请日：2007-11-30

申请人： Juwei Lu ,  Mohanaraj Thiyagarajah ,  Hui Zhou

发明人： Juwei Lu ,  Mohanaraj Thiyagarajah ,  Hui Zhou

IPC分类号： G06K9/00

CPC分类号： G06K9/00228

摘要： Converting a digital image from color to gray-scale. In one example embodiment, a method for converting a digital image from color to gray-scale is disclosed. First, an unconverted pixel having red, green, and blue color channels is selected from the color digital image. Next, the red color channel of the pixel is multiplied by α. Then, the green color channel of the pixel is multiplied by β. Next, the blue color channel of the pixel is multiplied by γ. Then, the results of the three multiplication operations are added together to arrive at a gray-scale value for the pixel. Finally, these acts are repeated for each remaining unconverted pixel of the color digital image to arrive at a gray-scale digital image. In this example method, α+β+≈1 and α>β.

摘要翻译： 将数字图像从颜色转换为灰度。 在一个示例实施例中，公开了一种将数字图像从彩色转换成灰度级的方法。 首先，从彩色数字图像中选择具有红色，绿色和蓝色通道的未转换像素。 接下来，像素的红色通道乘以α。 然后，将像素的绿色通道乘以＆bgr。 接下来，将像素的蓝色通道乘以γ。 然后，将三个乘法运算的结果相加在一起，得到像素的灰度值。 最后，对于彩色数字图像的每个剩余的未转换像素重复这些动作，以得到灰度数字图像。 在此示例中，α+＆bgr; +≈1和α>＆bgr。

公开(公告)号：US07546950B2

公开(公告)日：2009-06-16

申请号：US11390653

申请日：2006-03-28

申请人： Mohanaraj Thiyagarajah

发明人： Mohanaraj Thiyagarajah

IPC分类号： G06K9/18

CPC分类号： G06K7/14 ,  G06K7/1417

摘要： A method of locating and decoding a two-dimensional machine-readable symbol in a digital image, where the symbol has three finder patterns adjacent respective corners of the symbol, takes into account the possibility of skew and pitch when delineating the symbol in the digital image by estimating the unknown fourth corner based on lines passing through known symbol edge points. On the basis of the delineating, a reference grid is mapped to the digital image and a bit stream is extracted based on the mapping.

摘要翻译： 一种在数字图像中定位和解码二维机器可读符号的方法，其中符号具有与符号的相应角相邻的三个取景器图案，考虑了在数字图像中描绘符号时的偏斜和间距的可能性 通过基于通过已知符号边缘点的线来估计未知第四角。 在描绘的基础上，将参考网格映射到数字图像，并且基于映射提取比特流。