دورية أكاديمية

Novel mean-shift based histogram equalization using textured regions

التفاصيل البيبلوغرافية
العنوان: Novel mean-shift based histogram equalization using textured regions
المؤلفون: Lai, Yu-Ren1, Chung, Kuo-Liang1 k.l.chung@mail.ntust.edu.tw, Chen, Chyou-Hwa1, Lin, Guei-Yin1, Wang, Chao-Hsin2
المصدر: Expert Systems with Applications. Feb2012, Vol. 39 Issue 3, p2750-2758. 9p.
مصطلحات موضوعية: *IMAGE analysis, *COST analysis, *ALGORITHMS, *IMAGE quality analysis, *CONTRAST effect, *SEARCH algorithms
مستخلص: Abstract: This paper presents a novel mean-shift based histogram equalization method called the MSHE method. The key insight of the proposed MSHE method is that the basis of histogram equalization could be based on textured regions in an image, while impact of smoother regions should be suppressed. Using a mean-shift based approach, the sets of textured regions in an image are determined by finding regions which have a high density of edge concentration. In addition, a new cost function is presented to balance the image quality and contrast enhancement effect for search termination in the proposed algorithm. Based on three typical test images, experimental results show that our proposed MSHE method is quite competitive with the previous eleven methods, such as the HE, BBHE, DSIHE, POHE, RSWHE, DHE, BPDHE, SRHE, GHE, FHE, and THShap. [Copyright &y& Elsevier]
قاعدة البيانات: Academic Search Index
الوصف
تدمد:09574174
DOI:10.1016/j.eswa.2011.08.134