Name
Title | ||
|---|---|---|
Histogram statistics based variance controlled adaptive threshold in anisotropic diffusion for low contrast image enhancement |
Abstract | ||
|---|---|---|
It is very difficult in low contrast images to distinguish between the noisy background and the regions of low gray level inter-region edges. The classical Perona-Malik anisotropic diffusion is able to smooth the defective background but cannot enhance faultless low gray level inter-region edges in such low contrast images. The proposed method provides an unsupervised machine learning process to modify the anisotropic diffusion by generating an adaptive threshold in diffusion coefficient function using statistical measures. In the proposed method, image histogram is employed to calculate the global gray level variance over the entire image and local gray level variance over the defined neighborhood of each pixel of given image. The adaptive threshold in diffusion coefficient function varies in accordance with the difference between the two variances which gives a measure of intensity contrast in that neighborhood. The experimental results from various low contrast images have shown that the proposed unsupervised machine learning approach for adaptive threshold selection in anisotropic diffusion can effectively smooth noisy background with preservation of low gradient edges. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.sigpro.2012.09.009 | Signal Processing |
Keywords | Field | DocType |
classical perona-malik anisotropic diffusion,low gray level inter-region,low gradient edge,low contrast image enhancement,diffusion coefficient function,adaptive threshold,histogram statistic,anisotropic diffusion,low contrast image,faultless low gray level,various low contrast image | Anisotropic diffusion,Histogram,Computer vision,Mathematical optimization,Pattern recognition,Adaptive histogram equalization,Unsupervised learning,Pixel,Artificial intelligence,Gray level,Image histogram,Mathematics | Journal |
Volume | Issue | ISSN |
93 | 6 | 0165-1684 |
Citations | PageRank | References |
7 | 0.48 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nafis uddin Khan | 1 | 18 | 2.76 |
| K. V. Arya | 2 | 289 | 28.09 |
| Manisha Pattanaik | 3 | 39 | 16.13 |