Results 161 to 170 of about 8,731 (212)

CAHA-Net: A novel MR image classification model based on DenseNet incorporating coordinate attention and hybrid augmentation. [PDF]

Sci Rep
Qi H, Guo R, He J, Wang X, Han Y, Jiang X, Liu C.   +6 more
europepmc   +1 more source

Electrowetting display of multiscale Gamma based on dynamic histogram equilibrium. [PDF]

Sci Rep
Chen M, Lin Z, Lin S, Lin J, Guo T.
europepmc   +1 more source

Computational Quantification of Mouse Retinal Vasculature Using ImageJ.

Bio Protoc
Nader M, Feridooni HA, Tavasoli M, Van Der Ende S, McMaster CR, Robitaille JM.   +5 more
europepmc   +1 more source

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Bi-histogram equalization using modified histogram bins

Applied Soft Computing Journal, 2017
Display Omitted The proposed BHEMHB improves conventional histogram equalization.Histogram segmentation enables mean brightness preservation.Histogram modification reduces domination effect of high-frequency histogram bins.BHEMHB is tested using standard and cervical cell images.Statistical analyses reveal improvement in entropy, PSNR and AMBE ...
Nor Ashidi Mat Isa
exaly   +2 more sources

Quadrants dynamic histogram equalization for contrast enhancement

IEEE Transactions on Consumer Electronics, 2010
In this paper, we introduce a histogram equalization (HE)-based technique, called quadrant dynamic histogram equalization (QDHE), for digital images captured from consumer electronic devices. Initially, the proposed QDHE algorithm separates the histogram into four (quadrant) sub-histograms based on the median of the input image. Then, the resultant sub-
Nor Ashidi Mat Isa
exaly   +2 more sources

Hesitancy Histogram Equalization

2007 IEEE International Fuzzy Systems Conference, 2007
Extending our previous work on intuitionistic fuzzy histograms [1], we introduce the concept of hesitancy histogram and its application for enhancing low-contrasted images. The hesitancy histogram is based on intuitionistic fuzzy numbers using an entropic optimization criterion.
Ioannis K. Vlachos, George D. Sergiadis
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Interactive histogram equalization

Pattern Recognition Letters, 1990
Abstract Adaptive Histogram Equalization (AHE) often introduces artifacts, for example at the edges of relatively homogeneous regions. In this contribution we propose a variation of global histogram equalization, that avoids these artifacts. The method which is called Interactive Histogram Equalization (IHE) is based on a simpler calculation than AHE.
B. C. Stoel, Albert M. Vossepoel, F. P. Ottes, P. L. Hofland, H. M. Kroon, Leo J. Schultze Kool   +5 more
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Study on Histogram Equalization

2011 2nd International Symposium on Intelligence Information Processing and Trusted Computing, 2011
This paper does some study on histogram equalization. Especially, the examples of histogram equalization on the image show the difference of using two different mapping methods respectively.
Zhihong Wu, Xiaohong Xiao
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On the equalization of keystroke timing histograms

Pattern Recognition Letters, 2006
The effect of parametric equalization of time interval histograms (key down-down intervals) on the performance of keystroke-based user verification algorithms is analyzed. Three algorithms are used throughout this analysis: a classic one for static (structured) texts, a second one, also proposed in literature, for both static and arbitrary (free) text,
Jugurta R. Montalvão Filho, Eduardo O. Freire   +1 more
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