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|Title:||The trace transform for object identification||Authors:||Leong, Wei Siong.||Keywords:||DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision||Issue Date:||2012||Abstract:||We know that Trace transform is is a novel algorithm with properties like scale and rotation invariance and occlusion robustness  that has been shown to be effective in recognition tasks using generalisation of Radon transform. However its computation complexity has been a problem. A Trace transform of the image is a 2D function of the parameters of each tracing line. In this project, exploring the uses of Hough transform which extract primitives, such as lines, edges and curves, is often a key step in an image analysis procedure. We designed a function that take in Polar Coordinates (r,θ) inputs and converting to Cartesian Coordinates (x,y). As Hough transform is the simplest example for detection of lines. Experiment result from this function will allow us to get all the pixel and its coordinate from a image base on the given inputs.||URI:||http://hdl.handle.net/10356/48510||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Student Reports (FYP/IA/PA/PI)|
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