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Image processing based on visual attention and reduced search based generated regions of interest

机译:基于视觉注意力和基于减少的搜索的感兴趣区域生成的图像处理

摘要

#$%^&*AU2011226841B220160915.pdf#####Abstract A system for complexity reduction in images involving concepts of visual attention based most probable region detection for object presence and perspective-view based reduced scale-search approaches. Visual attention 5 concept in context uses gradient (11 ) and contrast (12) of an image (13). A pixel meeting certain criteria for gradient or contrast values may be further processed for object presence (18, 47). Limiting image processing to such regions may reduce the complexity of digitized images. Post processing (19) the outcome using morphological operations like dilation and erosion 10 appropriately may help retain some of the missed object pixels in the resultant image (20). Typically image blocks at different scales are searched for object presence. Reduced-scale search involves removing certain scales during search. As object size in image varies with its location scales within a given scale-range if searched, may lead to higher chances of object presence. [his is 15 implemented using relative heights and widths estimation using the perspective view concept.C ~ 1/00 N~ 0 ~ 0 0 ) C L) cE 0 1 --------------------------- (-iU CL i(n
机译:#$%^&* AU2011226841B220160915.pdf #####抽象一种涉及图像概念的降低图像复杂度的系统基于视觉注意的最可能区域检测对象是否存在以及基于透视图的缩小比例搜索方法。视觉注意力在上下文中的图5概念使用图像(13)的梯度(11)和对比度(12)。一种满足某些标准的渐变或对比度值的像素可能会更远已针对对象存在进行了处理(18、47)。将图像处理限于此区域可以降低数字化图像的复杂性。后处理(19)使用形态学运算(例如扩张和侵蚀)的结果适当地设置10个可能有助于在结果中保留一些丢失的对象像素图片(20)。通常,在不同比例的图像块中搜索对象存在。缩小比例搜索涉及在搜索过程中删除某些比例搜索。由于图像中的对象大小在给定范围内随其位置比例而变化如果搜索比例范围,可能会导致出现对象的机会更高。 [他的是图15使用相对高度和宽度估计实现透视图概念。C〜1/00N〜0〜0 0) CL)cE 0> 1---------------------------(-iU CL i(n

著录项

  • 公开/公告号AU2011226841B2

    专利类型

  • 公开/公告日2016-09-15

    原文格式PDF

  • 申请/专利权人 HONEYWELL INTERNATIONAL INC.;

    申请/专利号AU20110226841

  • 发明设计人 ESWARA LALITHA M.;

    申请日2011-09-15

  • 分类号G06K9/80;G06T7/60;

  • 国家 AU

  • 入库时间 2022-08-21 14:20:43

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