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    • 4. 发明申请
    • IMAGE PROCESSING BASED ON VISUAL ATTENTION AND REDUCED SEARCH BASED GENERATED REGIONS OF INTEREST
    • 基于视觉注意的图像处理和基于减少搜索的生成区域
    • US20120070075A1
    • 2012-03-22
    • US12885171
    • 2010-09-17
    • Lalitha M. Eswara
    • Lalitha M. Eswara
    • G06K9/00G06K9/34
    • G06K9/3233
    • A system for complexity reduction in images involving concepts of visual attention based most probable region detection for object presence and perspective-view based reduced scale-search approaches. Visual attention concept in context uses gradient and contrast of an image. A pixel meeting certain criteria for gradient or contrast values may be further processed for object presence. Limiting image processing to such regions may reduce the complexity of digitized images. Post processing the outcome using morphological operations like dilation and erosion appropriately may help retain some of the missed object pixels in the resultant image. Typically image blocks at different scales are searched for object presence. Reduced-scale search involves removing certain scales during search. As object size in image varies with its location scales within a given scale-range if searched, may lead to higher chances of object presence. This is implemented using relative heights and widths estimation using the perspective view concept.
    • 一种用于复杂度降低的系统,其涉及基于视觉注意的概念的最可能区域检测用于对象存在和基于透视图的减小的尺度搜索方法。 上下文中的视觉注意概念使用图像的渐变和对比度。 满足梯度或对比度值的某些标准的像素可以进一步处理用于对象存在。 将图像处理限制到这些区域可以降低数字化图像的复杂性。 使用诸如扩张和侵蚀的形态学操作适当地处理结果可能有助于保留所得图像中的一些错过的对象像素。 通常搜索不同尺度的图像块以获得对象存在。 缩小搜索涉及在搜索过程中删除某些尺度。 由于图像中的物体大小随着位置尺度在给定的尺度范围内而变化,如果搜索到的话,可能会导致更高的物体存在机会。 这是使用透视图概念的相对高度和宽度估计来实现的。
    • 7. 发明授权
    • System and method for obstacle detection using fusion of color space information
    • 利用色彩空间信息融合进行障碍物检测的系统和方法
    • US08475050B2
    • 2013-07-02
    • US12631954
    • 2009-12-07
    • Lalitha M. EswaraLokesh Rayasandra Boregowda
    • Lalitha M. EswaraLokesh Rayasandra Boregowda
    • G06K9/34
    • G06T7/174G06T7/11G06T7/136G06T2207/10024G06T2207/20221
    • A method comprises receiving an image of the area, the image representing the area in a first color space; converting the received image to at least one second color space to produce a plurality of converted images, each converted image corresponding to one of a plurality of color sub-spaces in the at least one second color space; calculating upper and lower thresholds for at least two of the plurality of color sub-spaces; applying the calculated upper and lower thresholds to the converted images corresponding to the at least two color sub-spaces to segment the corresponding converted images; fusing the segmented converted images corresponding to the at least two color sub-spaces to segment the received image; and updating the segmentation of the received image based on edge density data in the received image.
    • 一种方法包括:接收所述区域的图像,所述图像表示第一颜色空间中的区域; 将所接收的图像转换为至少一个第二颜色空间以产生多个转换图像,每个转换图像对应于所述至少一个第二颜色空间中的多个颜色子空间中的一个; 计算所述多个颜色子空间中的至少两个的上限和下限阈值; 将所计算的上限和下限阈值应用于对应于所述至少两个颜色子空间的转换图像,以对相应的转换图像进行分段; 对与所述至少两个颜色子空间相对应的经分割的经转换的图像进行融合以分割所接收的图像; 以及基于接收到的图像中的边缘密度数据来更新接收到的图像的分割。
    • 8. 发明授权
    • Fusion of color space data to extract dominant color
    • 色彩空间数据融合提取主色
    • US07606414B2
    • 2009-10-20
    • US11223224
    • 2005-09-09
    • Lokesh R. BoregowdaLalitha M. Eswara
    • Lokesh R. BoregowdaLalitha M. Eswara
    • G06K9/00
    • G06K9/4652
    • A system and a method to extract dominant color information using fusion of color space data. The color space data may include Red, Green, Blue (RGB) color space data and may include Hue (H), Saturation (S), and Intensity Value (V) color space data. Red, Green and Blue color space histograms may be computed and maximum count values of each color space may be obtained, which may help finding ‘shine’ information in the object. Normalized HSV color space may be fused with Normalized RGB color space for dominant color determination. The dominant color decision conditions involved in the fusion process may change based on a ‘shine’ flag.
    • 一种利用色彩空间数据融合提取主色信息的系统和方法。 颜色空间数据可以包括红色,绿色,蓝色(RGB)颜色空间数据,并且可以包括色相(H),饱和度(S)和强度值(V)颜色空间数据。 可以计算红色,绿色和蓝色颜色空间直方图,并且可以获得每个颜色空间的最大计数值,这可以帮助在对象中找到“闪耀”信息。 归一化的HSV颜色空间可以与归一化RGB颜色空间融合,用于主要颜色确定。 融合过程中涉及的主要颜色决策条件可能会根据“闪耀”标志而改变。
    • 10. 发明授权
    • Image processing based on visual attention and reduced search based generated regions of interest
    • 基于视觉注意的图像处理和基于缩小搜索的生成的感兴趣区域
    • US08542875B2
    • 2013-09-24
    • US12885171
    • 2010-09-17
    • Lalitha M. Eswara
    • Lalitha M. Eswara
    • G06K9/00
    • G06K9/3233
    • A system for complexity reduction in images involving concepts of visual attention based most probable region detection for object presence and perspective-view based reduced scale-search approaches. Visual attention concept in context uses gradient and contrast of an image. A pixel meeting certain criteria for gradient or contrast values may be further processed for object presence. Limiting image processing to such regions may reduce the complexity of digitized images. Post processing the outcome using morphological operations like dilation and erosion appropriately may help retain some of the missed object pixels in the resultant image. Typically image blocks at different scales are searched for object presence. Reduced-scale search involves removing certain scales during search. As object size in image varies with its location scales within a given scale-range if searched, may lead to higher chances of object presence. This is implemented using relative heights and widths estimation using the perspective view concept.
    • 一种用于复杂度降低的系统,其涉及基于视觉注意的概念的最可能区域检测用于对象存在和基于透视图的减小的尺度搜索方法。 上下文中的视觉注意概念使用图像的渐变和对比度。 满足梯度或对比度值的某些标准的像素可以进一步处理用于对象存在。 将图像处理限制到这些区域可以降低数字化图像的复杂性。 使用诸如扩张和侵蚀的形态学操作适当地处理结果可能有助于保留所得图像中的一些错过的对象像素。 通常搜索不同尺度的图像块以获得对象存在。 缩小搜索涉及在搜索过程中删除某些尺度。 由于图像中的物体大小随着位置尺度在给定的尺度范围内而变化,如果搜索到的话,可能会导致更高的物体存在机会。 这是使用透视图概念的相对高度和宽度估计来实现的。