2011
DOI: 10.1007/s00138-011-0348-6
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Finding best-fitted rectangle for regions using a bisection method

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Cited by 11 publications
(12 citation statements)
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“…The first step is to detect the boundary of the object. The second step is to estimate its parameters based on the boundary points 2,7,8,77 . The parameters estimation procedures are discussed briefly.…”
Section: • Best Fitting Methods Of 2-d Parametric Polygons/curvesmentioning
confidence: 99%
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“…The first step is to detect the boundary of the object. The second step is to estimate its parameters based on the boundary points 2,7,8,77 . The parameters estimation procedures are discussed briefly.…”
Section: • Best Fitting Methods Of 2-d Parametric Polygons/curvesmentioning
confidence: 99%
“…Various properties of appearance such as texture, color and shape can be measured. Shape is a powerful tool for describing objects and differentiating between them, and has been extensively applied in many areas of computer vision 1,2 . In fact, the issue of shape extends far beyond computer vision into areas such as the graphic arts 3 , physics, chemistry and biology 4,5 .…”
Section: Introductionmentioning
confidence: 99%
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“…Thus, the survey of the measurement issue is expanded and summarised. For the methods in 2D space or 3D space, they can be divided into two categories roughly: geometric feature recognition methods [16][17][18][19][20] and shape approximation methods [21][22][23][24][25][26][27][28].…”
Section: Motivation and Related Workmentioning
confidence: 99%
“…(Shi and Zhu, 2002) Chaudhuri et al proposed a semi-automated road detection method with the directional morphological enhancement and segmentation. (Chaudhuri et al,2012) The existing methods were based on the facts that roads are linear features with edges and have different spectral signatures from surrounding objects. Such approaches may work well with major roads built with concrete or pavement, but fail to detect roads with vegetation coverage or under tree canopies shadows.…”
Section: Introductionmentioning
confidence: 99%