MRT letter: Recovering weak-textured surfaces using image focus

Microscopy Research and Technique

Volumn 72, Issue 10, 2009, Pages 703-706

  Muhammad, Mannan Saeed ^a   Choi, Tae Sun ^a  

^a Gwangju Institute of Science and Technology (GIST)   (South Korea)

Author keywords

3D shape recovery; Shape from focus; Texture

Indexed keywords

IMAGE TEXTURE;

3DSHAPE RECOVERY; DEPTH VALUE; FOCUS ALGORITHMS; IMAGE FOCUS; PASSIVE METHODS; PERFORMANCE; SHAPE FROM FOCUS; SHAPE RECONSTRUCTION; TEXTURED OBJECTS; TEXTURED SURFACE;

SHAPE OPTIMIZATION;

ALGORITHM; ARTICLE; IMAGE ANALYSIS; NORMAL DISTRIBUTION; PRIORITY JOURNAL; SURFACE PROPERTY;

EID: 70349437341     PISSN: 1059910X     EISSN: 10970029     Source Type: Journal    
DOI: 10.1002/jemt.20768     Document Type: Article

References (6)

1. Ahmad MB, Choi TS. 2005. A Heuristic approach for finding best focused shape. IEEE Trans Circuits Syst Video Technol 15:566-574.
2. Asif M, Choi TS. 2001. Shape from focus using multilayer feedforward neural networks. IEEE Trans Image Process 10:1670-1675. (Pubitemid 33149051)
3. Subbarao M, Choi TS. 1995. Accurate recovery of three dimensional shape from image focus. IEEE Trans Pattern Anal Machine Intell 17:266-274.
4. Subbarao M, Lu M. 1994. Image-sensing model and computer simulation for CCD camera systems. Machine Vision Appl 7:277-289.
5. Sun Y, Duthaler S, Nelson BJ. 2004. Auto focusing in computer microscopy: Selecting the optimal focus algorithm. Microsc Res Tech 65:139-149. (Pubitemid 40066729)
6. Sundaram H, Nayar SK. 1997. Are textureless scenes recoverable? In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern, Puerto Rico, 17-19 Jun 1997. pp. 814-820.