Bas-Relief Generation Using Adaptive Histogram Equalization
An algorithm is presented to automatically generate bas-reliefs based on adaptive histogram equalization (AHE), starting from an input height field. A mesh model may alternatively be provided, in which case a height field is first created via orthogonal or perspective projection. The height field is...
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Veröffentlicht in: | IEEE transactions on visualization and computer graphics 2009-07, Vol.15 (4), p.642-653 |
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description | An algorithm is presented to automatically generate bas-reliefs based on adaptive histogram equalization (AHE), starting from an input height field. A mesh model may alternatively be provided, in which case a height field is first created via orthogonal or perspective projection. The height field is regularly gridded and treated as an image, enabling a modified AHE method to be used to generate a bas-relief with a user-chosen height range. We modify the original image-contrast-enhancement AHE method to use gradient weights also to enhance the shape features of the bas-relief. To effectively compress the height field, we limit the height-dependent scaling factors used to compute relative height variations in the output from height variations in the input; this prevents any height differences from having too great effect. Results of AHE over different neighborhood sizes are averaged to preserve information at different scales in the resulting bas-relief. Compared to previous approaches, the proposed algorithm is simple and yet largely preserves original shape features. Experiments show that our results are, in general, comparable to and in some cases better than the best previously published methods. |
doi_str_mv | 10.1109/TVCG.2009.21 |
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A mesh model may alternatively be provided, in which case a height field is first created via orthogonal or perspective projection. The height field is regularly gridded and treated as an image, enabling a modified AHE method to be used to generate a bas-relief with a user-chosen height range. We modify the original image-contrast-enhancement AHE method to use gradient weights also to enhance the shape features of the bas-relief. To effectively compress the height field, we limit the height-dependent scaling factors used to compute relative height variations in the output from height variations in the input; this prevents any height differences from having too great effect. Results of AHE over different neighborhood sizes are averaged to preserve information at different scales in the resulting bas-relief. Compared to previous approaches, the proposed algorithm is simple and yet largely preserves original shape features. Experiments show that our results are, in general, comparable to and in some cases better than the best previously published methods.</description><subject>Adaptive algorithms</subject><subject>Adaptive equalizers</subject><subject>adaptive histogram equalization</subject><subject>Algorithms</subject><subject>Automation</subject><subject>Bas-relief</subject><subject>Costs</subject><subject>Equalization</subject><subject>feature enhancement</subject><subject>Histograms</subject><subject>Image coding</subject><subject>Layout</subject><subject>Mathematical models</subject><subject>Mesh generation</subject><subject>Preserves</subject><subject>Production</subject><subject>Projection</subject><subject>Shape</subject><subject>Sun</subject><issn>1077-2626</issn><issn>1941-0506</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp90M9LwzAUB_Agij-mN2-CFA96sTNJs5cETzrmJgiCbF5Dlr5KpGtn0wr615u5oeDBUx7kw5f3voQcM9pnjOqr6fNw3OeU6j5nW2SfacFSOqCwHWcqZcqBwx45COGVUiaE0rtkLyKeKaX2yfWtDekTlh6LZIwVNrb1dZXMgq9ekpvcLlv_jsnEh7Z-aewiGb11tvSf3-qQ7BS2DHi0eXtkdjeaDifpw-P4fnjzkLoMVJs6ZV2BwIA5xkFIYUWuLWohda5lXJXPrea5s9TJjGvrgEoBEnUhIEqZ9cjFOnfZ1G8dhtYsfHBYlrbCugtGgVYw4BSiPP9XguRcSrGKPPsDX-uuqeIVRg1AaZADEdHlGrmmDqHBwiwbv7DNh2HUrLo3q-7NqnvDWeSnm8xuvsD8F2_KjuBkDTwi_nwLCZRlOvsCBD2Fng</recordid><startdate>20090701</startdate><enddate>20090701</enddate><creator>Xianfang Sun</creator><creator>Rosin, P.L.</creator><creator>Martin, R.R.</creator><creator>Langbein, F.C.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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A mesh model may alternatively be provided, in which case a height field is first created via orthogonal or perspective projection. The height field is regularly gridded and treated as an image, enabling a modified AHE method to be used to generate a bas-relief with a user-chosen height range. We modify the original image-contrast-enhancement AHE method to use gradient weights also to enhance the shape features of the bas-relief. To effectively compress the height field, we limit the height-dependent scaling factors used to compute relative height variations in the output from height variations in the input; this prevents any height differences from having too great effect. Results of AHE over different neighborhood sizes are averaged to preserve information at different scales in the resulting bas-relief. Compared to previous approaches, the proposed algorithm is simple and yet largely preserves original shape features. 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subjects | Adaptive algorithms Adaptive equalizers adaptive histogram equalization Algorithms Automation Bas-relief Costs Equalization feature enhancement Histograms Image coding Layout Mathematical models Mesh generation Preserves Production Projection Shape Sun |
title | Bas-Relief Generation Using Adaptive Histogram Equalization |
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