Topic
Top-hat transform
About: Top-hat transform is a research topic. Over the lifetime, 4203 publications have been published within this topic receiving 64555 citations.
Papers published on a yearly basis
1 / 2
Papers
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TL;DR: Parts of image processing are discussed--specifically: the mathematical operations one is likely to encounter, and ways of implementing them by optics and on digital computers; image description; and image quality evaluation.
Abstract: Image processing techniques find applications in many areas, chief among which are image enhancement, pattern recognition, and efficient picture coding. Some aspects of image processing are discussed--specifically: the mathematical operations one is likely to encounter, and ways of implementing them by optics and on digital computers; image description; and image quality evaluation. Many old results are reviewed, some new ones presented, and several open questions are posed.
2,969 citations
Book•
18 Feb 2002
TL;DR: The new edition of Feature Extraction and Image Processing provides an essential guide to the implementation of image processing and computer vision techniques, explaining techniques and fundamentals in a clear and concise manner, and features a companion website that includes worksheets, links to free software, Matlab files, solutions and new demonstrations.
Abstract: Image processing and computer vision are currently hot topics with undergraduates and professionals alike. "Feature Extraction and Image Processing" provides an essential guide to the implementation of image processing and computer vision techniques, explaining techniques and fundamentals in a clear and concise manner. Readers can develop working techniques, with usable code provided throughout and working Matlab and Mathcad files on the web. Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals.The new edition includes: a new coverage of curvature in low-level feature extraction (SIFT and saliency) and features (phase congruency); geometric active contours; morphology; and camera models and an updated coverage of image smoothing (anistropic diffusion); skeletonization; edge detection; curvature; and shape descriptions (moments). It is an essential reading for engineers and students working in this cutting edge field. It is an ideal module text and background reference for courses in image processing and computer vision. It features a companion website that includes worksheets, links to free software, Matlab files, solutions and new demonstrations.
1,355 citations
1 Jul 1992
TL;DR: 2.1 Conventional Metamorphosis Techniques Mc[:ml(wpht)iii twlween lWo or mor’c imafys (wer lime i) u uwi’ul \ i~u;ii tcchniquc.
Abstract: 2.1 Conventional Metamorphosis Techniques Mc[:ml(wpht)iii twlween lWo or mor’c imafys (wer lime i) u uwi’ul \ i~u;ii tcchniquc. (Jflen uwd f’orCducaliomd (n’tMCid;liMll Cnt purpt>wi. ‘1’l-:idi(ional Iilmmahing techniques for (his cflcc[ include ~’lckcr c’ut~(iuc’h LISu chwwwr cxhibi(ing ch:mgm while running thr(mgll ;! toreil and prosing behind several trws ) tind op[ic:d cro\\diswdv<’. in which onc image is f:ide(i out while wwther is sinwlt:lnLNNI\l)f’:idcdin (Mith makeup ch:mge. tippliwcm, or nhjecl subs[i [u[I(m ). Sc\’~’riilclawic horror lilm~ illu$tfiite [he process: who ctwld hnycl ~hc b:lir-tai~ing (fiiniform;ilml of the Woitman. or the drw m:itic lllct;itll(~rpll(~sii from Dr. Jchyll [o Mr. Hyde’? This pupcr prcwmls ii c(mtcnlp{mmy w~lu(i(mto the vi~u:d translonmrtion pnh lL’nl.
1,193 citations
1 Sep 2005
TL;DR: The author’s research focused on image modeling and representation, which focused on the representation of black-and-white images through the lens of a discrete-time model.
Abstract: Preface 1. Introduction 2. Some modern image analysis tools 3. Image modeling and representation 4. Image denoising 5. Image deblurring 6. Image inpainting 7. Image processing: segmentation Bibliography Index.
1,120 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2024 | 4 |
| 2023 | 8 |
| 2022 | 10 |
| 2021 | 5 |
| 2020 | 6 |
| 2019 | 5 |