Title :
The robustness analysis on several kinds of morphological pattern spectrums
Author_Institution :
Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
Abstract :
The initial form of the pattern spectrum came from the size distribution function presented by Serra (1982). The main difference between the size distribution function and the pattern spectrum is that the pattern spectrum denotes the difference information between two different sized transformations on an image. This paper presents a general representation of the pattern spectrum. Based on a typical noise model, we carry out a theoretical analysis on the robustness of several kinds of spectrums. Finally, some experiments are conducted
Keywords :
image representation; mathematical morphology; spectral analysis; difference information; experiments; general representation; image shape recognition; image transformation; morphological pattern spectrum; noise model; robustness analysis; size distribution function; Distribution functions; Electrical capacitance tomography; Information science; Morphology; Noise robustness; Noise shaping; Partial response channels; Pattern analysis; Refining; Shape;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567317
