Image enhancement using the median and the interquartile distance-Reference-Cited by-同舟云学术

Image enhancement using the median and the interquartile distance

Published:1984-02 Issue:2 Volume:25 Page:236-251
ISSN:0734-189X
Container-title:Computer Vision, Graphics, and Image Processing
language:en
Short-container-title:Computer Vision, Graphics, and Image Processing

Author:

Scollar Irwin,Weidner Bernd,Huang Thomas S

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

Reference16 articles.

1. Digital image enhancement and noise filtering by use of local statistics;Lee;IEEE Trans. Pattern Anal. Mach. Intell.,1980

2. Refined filtering of image noise using local statistics;Lee;Computer Graphics Image Processing,1981

3. T. S. Huang, ed., Two-Dimensional Digital Signal Processing II: Transforms and Median Filters, Chaps. 1, 5, 6, Springer-Verlag, New York/Heidelberg.

4. Computer techniques for geological applications;Soha,1976

5. Box filtering techniques;McDonnell;Computer Graphics Image Processing,1981

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Image Analysis and Processing Theory, Methods, and Algorithms. Review of Research at the Iconics Laboratory of the Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute);Pattern Recognition and Image Analysis;2023-12

2. Fuzzy Based Convolutional Noise Clustering Classifier to Handle the Noise and Heterogeneity in Image Classification;Mathematics;2022-11-01

3. Study the Effect of MRF Model on Fuzzy c Means Classifiers with Different Parameters and Distance Measures;Journal of the Indian Society of Remote Sensing;2022-02-28

4. Combining CT Images and Clinical Features of Four Periods to Predict Whether Patients Have Rectal Cancer;Computational Intelligence and Neuroscience;2021-12-07

5. Augmenting possibilistic c-means classifier to handle noise and within class heterogeneity in classification;Journal of Applied Remote Sensing;2021-11-03