Submission declined on 24 March 2024 by
DoubleGrazing (
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A multi-resolution histogram of an image is a sequence of histograms of the image pixel intensities at successively lower spatial resolutions. [1] Each histogram has the same number of bins (one for each possible pixel intensity value) and the same bin count sum (since each image has the same dimensions, but low spatial resolution). multi-resolution histograms are a useful extension to histograms in image recognition, and image texture classification. [2]
- ^ Hadjidemetriou, E.; Grossberg, M. D.; Nayar, S. K. (2004). "Multiresolution histograms and their use for recognition". IEEE Transactions on Pattern Analysis and Machine Intelligence. 26 (7): 831–847. doi: 10.1109/TPAMI.2004.32. PMID 18579943.
- ^ "Multiresolution Histograms and their Use for Texture Classification" (PDF).
| Submission declined on 24 March 2024 by
DoubleGrazing (
talk). This draft's references do not show that the subject
qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
| |
A multi-resolution histogram of an image is a sequence of histograms of the image pixel intensities at successively lower spatial resolutions. [1] Each histogram has the same number of bins (one for each possible pixel intensity value) and the same bin count sum (since each image has the same dimensions, but low spatial resolution). multi-resolution histograms are a useful extension to histograms in image recognition, and image texture classification. [2]
- ^ Hadjidemetriou, E.; Grossberg, M. D.; Nayar, S. K. (2004). "Multiresolution histograms and their use for recognition". IEEE Transactions on Pattern Analysis and Machine Intelligence. 26 (7): 831–847. doi: 10.1109/TPAMI.2004.32. PMID 18579943.
- ^ "Multiresolution Histograms and their Use for Texture Classification" (PDF).
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