Title | ||
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Flat zone analysis and a sharpening operation for gradual transition detection on video images |
Abstract | ||
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The boundary identification represents an interesting and difficult problem in image processing, mainly if two flat zones are separated by a gradual transition. The most common edge detection operators work properly for sharp edges, but can fail considerably for gradual transitions. In this work, we propose a method to eliminate gradual transitions, which preserves the number of the image flat zones. As an application example, we show that our method can be used to identify very common gradual video transitions such as fades and dissolves. |
Year | DOI | Venue |
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2004 | 10.1155/S1110865704407069 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
video image,image flat zone,video transition identification,gradual transition detection,flat zone,gradual transition,common edge detection operator,visual rhythm.,sharp edge,difficult problem,flat zone analysis,boundary identification,common gradual video,image processing,and phrases: flat zone analysis,application example,edge detection | Sharpening,Computer vision,Gradual transition,Edge detection,Computer science,Image processing,Artificial intelligence,Operator (computer programming),Visual rhythm | Journal |
Volume | Issue | ISSN |
2004, | 12 | 1687-6180 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Silvio J. F. Guimarães | 1 | 0 | 0.34 |
Neucimar Jerônimo Leite | 2 | 418 | 29.45 |
Michel Couprie | 3 | 51 | 4.54 |
Arnaldo de Albuquerque Araújo | 4 | 479 | 34.55 |