Methods for Ellipse Detection from Edge Maps of Real Images
Dilip Kumar Yadav, Maylor K.H. · InTech eBooks · 2012
ellipses.However, the problem of detecting ellipses in real images is very challenging due to many reasons.Consider the example given in Fig. 1.Besides the obvious and ubiquitous presence of the problem of digitization in any digital image, there are other problems as seen in Fig. 1.The various challenges are summarized below succinctly:1. Digitization: In digital images, the elliptic curves get digitized.As a consequence of digitization, the ellipses cannot be retrieved correctly and only an estimate of the parameters of the ellipses can be retrieved (Prasad and Leung, 2010b).2. Presence of incomplete ellipses due to overlap and occlusion: One issue that can be easily envisaged in real images is that objects are usually present in overlap with each other, see the labels in Fig. 1(b) for examples.If the overlapping object is transparent or translucent, the boundaries of overlapped objects might still be available in the edge map as small disconnected edges (obtained after edge detection), see Fig. 2(a,c).However, if the overlapping object is opaque, the overlapped object is occluded and its incomplete boundary will appear in the edge map, see Fig. 2(b,d).If an image is cluttered by various objects of such nature, the problem gets very complicated to handle as such scenario results in various incomplete small edges in the image.(e) Example of outliers How to referenceIn order to correctly reference this scholarly work, feel free to copy and paste