IMAGE PROCESSING BASED ON VISUAL ATTENTION AND REDUCED SEARCH BASED GENERATED REGIONS OF INTEREST
First Claim
1. A method for reducing complexity of processing digitized images for object detection using a reduced scale-search, comprising:
- obtaining samples of object heights or widths at different locations in one or more images;
performing a non-linear interpolation of heights or widths for each pixel in an image (RScale);
considering an image block for processing based on a scale; and
determining whether a height or width of the image block being processed is greater than X percent of RScale of a pixel at an image block center and is less than Y percent of an RScale;
wherein;
RScale is a non-linear interpolation of heights or widths of an object for each pixel in the one or more images;
X is a number; and
Y IS A NUMBER.
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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 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.
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Citations
20 Claims
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1. A method for reducing complexity of processing digitized images for object detection using a reduced scale-search, comprising:
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obtaining samples of object heights or widths at different locations in one or more images; performing a non-linear interpolation of heights or widths for each pixel in an image (RScale); considering an image block for processing based on a scale; and determining whether a height or width of the image block being processed is greater than X percent of RScale of a pixel at an image block center and is less than Y percent of an RScale; wherein; RScale is a non-linear interpolation of heights or widths of an object for each pixel in the one or more images; X is a number; and Y IS A NUMBER. - View Dependent Claims (2, 3, 4, 5)
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6. An approach for reducing complexity of digitized images by using visual attention, comprising:
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determining a gradient image of an input image; determining a YUV image of the input image; evaluating gradient pixels of the gradient image; processing the gradient pixels having values meeting an adaptive threshold; evaluating Y-channel pixels of the YUV image as contrast pixels; processing contrast pixels having values meeting an adaptive threshold; and merging processed gradient and contrast pixels into an output image. - View Dependent Claims (7, 8, 9, 10, 11, 12)
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13. A system for reducing complexity of digital images, comprising:
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an image source module; a gradient pixel selection module connected to the image source module; a contrast pixel selection module connected to the image source module; and a pixel merger module connected to the gradient pixel selection module and to the contrast pixel selection module. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20)
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Specification