Publication Type:

Book Chapter

Source:

Lecture Notes in Computational Vision and Biomechanics, p.1537-1552 (2019)

ISBN:

9783030006648

URL:

https://www.researchgate.net/publication/330077875_Defocus_Map-Based_Segmentation_of_Automotive_Vehicles

Abstract:

Defocus estimation plays a vital role in segmentation and computer vision applications. Most of the existing work uses defocus map for segmentation, matting, decolorization and salient region detection. In this paper, we propose to use both defocus map and grabcut using wavelet for reliable segmentation of the image. The result shows the comparative analysis between the bi-orthogonal and Haar function using wavelet, grabcut and defocus map. Experimental results show promising results, and hence, this algorithm can be used to obtain the defocus map of the scene.

Notes:

cited By 0

Cite this Research Publication

T. Kumar, Rajendran, N., and Vaiapury, K., “Defocus Map-Based Segmentation of Automotive Vehicles”, in Lecture Notes in Computational Vision and Biomechanics, 2019, pp. 1537-1552.