公开(公告)号：US20140168421A1

公开(公告)日：2014-06-19

申请号：US13715446

申请日：2012-12-14

Applicant: XEROX CORPORATION

Inventor： Beilei XU ,  Lalit Keshav MESTHA ,  Yao Rong WANG ,  Peter PAUL

IPC: G01N21/01

CPC classification number: G01J3/2823 ,  G01J3/36 ,  G01J3/51 ,  G01J3/513 ,  G06K9/00369 ,  G06K9/00785 ,  G06K9/2018 ,  H04N5/332 ,  H04N9/07

Abstract: What is disclosed is a system and method for processing image data acquired using a multi-band infrared camera system with a spectral mosaic filter arranged in a geometric pattern without having to perform a demosaicing that is typical with processing data from an array of sensors. In one embodiment, image data that has been captured using a camera system that has a spectral filter mosaic comprising a plurality of spectral filters arrayed on a grid. A material index is determined, using intensity values collected by sensor elements associated with this cell's respective spectral filters. All of the material indices collectively generate a material index image. Thereafter, material identification is performed on the material index image using, for example, pixel classification. Because the demosaicing step can be effectively avoided, image processing time is reduced. The teachings hereof find their uses in a wide array of applications including automated HOV/HOT violation detection.

Abstract translation: 所公开的是一种用于处理使用具有以几何图案排列的频谱马赛克滤波器的多频带红外相机系统获取的图像数据的系统和方法，而不必执行典型的来自传感器阵列的数据处理的去马赛克。 在一个实施例中，已经使用具有包括排列在网格上的多个频谱滤波器的频谱滤波器马赛克的相机系统捕获的图像数据。 使用与该单元相应的光谱滤波器相关联的传感器元件收集的强度值来确定材料索引。 所有材料指标共同生成材料索引图像。 此后，使用例如像素分类对材料索引图像进行材料识别。 因为可以有效地避免去马赛克步骤，所以减少了图像处理时间。 其教导在各种应用中发现其用途，包括自动HOV / HOT违规检测。

公开(公告)号：US20150294168A1

公开(公告)日：2015-10-15

申请号：US14249981

申请日：2014-04-10

Applicant: Xerox Corporation

Inventor： Yusuf O. ARTAN ,  Peter PAUL

IPC: G06K9/00 ,  H04N5/33 ,  G06K9/46 ,  G06K9/52 ,  G06K9/62

CPC classification number: G06K9/00838 ,  G06K9/46 ,  G06K9/4604 ,  G06K9/52 ,  G06K9/6256 ,  G06K9/6284 ,  G06K2009/4666 ,  H04N5/23219 ,  H04N5/33

Abstract: A method, non-transitory computer readable medium, and apparatus for detecting an object in an image are disclosed. For example, the method receives the image, calculates a score for each one of a plurality of locations in the image, performs a box plot of the score of the each one of the plurality of locations of the image, identifies an outlier score that falls outside of the box plot, determines that a distance ratio of the outlier score is less than a predefined distance ratio and detects the object in a location of the plurality of locations of the image corresponding to the outlier score.

Abstract translation: 公开了一种用于检测图像中的对象的方法，非暂时计算机可读介质和装置。 例如，该方法接收图像，计算图像中的多个位置中的每个位置的分数，执行图像的多个位置中的每个位置的得分的框图，识别下降的异常值分数 在盒子图之外，确定离群值的距离比例小于预定距离比，并且在对应于异常值的图像的多个位置的位置中检测对象。