Differential histogram equalization based image simplification
Document Type
Conference Proceeding
Publication Date
12-1-2006
Abstract
Image simplification is an important pre-processing task in object segmentation and recognition. The histogram-based approach is the simplest way of image simplification. However, it is difficult to find a general rule of obtaining the proper threshold for all different cases. Recently, the research on image simplification using morphology seems to achieve a better performance. Nevertheless, the quality of simplification results relies on the selection of maskers obtained from complicated morphological operations. In this paper, we present a new perspective view based on differential histogram equalization (DHE) in image simplification. It is developed to not only generate better quality results, but possess lower computational complexity.
Identifier
34250880675 (Scopus)
ISBN
[078039593X, 9780780395930]
Publication Title
2006 IEEE International Conference on Electro Information Technology
External Full Text Location
https://doi.org/10.1109/EIT.2006.252185
First Page
344
Last Page
349
Recommended Citation
Wu, Yi Ta; Shih, Frank Y.; and Wu, Yih Tyng, "Differential histogram equalization based image simplification" (2006). Faculty Publications. 18708.
https://digitalcommons.njit.edu/fac_pubs/18708
