IMAGE TRANSITION REGION EXTRACTION AND SEGMENTATION BASED ON LOCAL COMPLEXITY

[in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]

Journals >Journal of Infrared and Millimeter Waves >Volume 24 >Issue 4 >Page 312 > Article

Journal of Infrared and Millimeter Waves
Vol. 24, Issue 4, 312 (2005)

IMAGE TRANSITION REGION EXTRACTION AND SEGMENTATION BASED ON LOCAL COMPLEXITY

[in Chinese]¹, [in Chinese]², [in Chinese]², and [in Chinese]²

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¹[in Chinese]

²[in Chinese]

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DOI: Cite this Article

[in Chinese], [in Chinese], [in Chinese], [in Chinese]. IMAGE TRANSITION REGION EXTRACTION AND SEGMENTATION BASED ON LOCAL COMPLEXITY[J]. Journal of Infrared and Millimeter Waves, 2005, 24(4): 312 Copy Citation Text

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References

[1] Gerbrands J J. Segmentation of noise images[D]. Ph.D. dissertation, Delft University. The Netherlands,1988.

[2] Zhang Y J, Gerbrands J J. Transition region determination based thresholding[J]. Pattern Recognition Letters, 1991,12(1): 13-23.

[3] Groenewald A M, Barnard E, Botha.E C. Related approaches to gradient-based thresholding[J]. Pattern Recognition Letters, 1993,14(7): 567-572.

[4] Weszka J S, Rosenfeld A. Histogram modification for threshold selection[J]. IEEE Trans. Syst. Man Cybernet.,1979,9(1): 38-52.

[in Chinese], [in Chinese], [in Chinese], [in Chinese]. IMAGE TRANSITION REGION EXTRACTION AND SEGMENTATION BASED ON LOCAL COMPLEXITY[J]. Journal of Infrared and Millimeter Waves, 2005, 24(4): 312

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