Preparation of a digital image with subsequent edge detection

Details Preparation of a digital image with subsequent edge detection Preparation of a digital image with subsequent edge detection

2008-04-08

2008-04-08

Wu, Jingge (Department: 2624)

Image analysis

Pattern recognition

Feature extraction

C382S264000, C382S266000, C382S274000

Reexamination Certificate

active

10456209

ABSTRACT:
For object recognition, an image is segmented into areas of similar homogeneity at a coarse scale, which are then interpreted as surfaces. Information from different spatial scales and different image features is simultaneously evaluated by exploiting statistical dependencies on their joint appearance. Thereby, the local standard deviation of specific gray levels in the close environment of an observed pixel serves as a measure for local image homogeneity that is used to get an estimate of dominant global object contours. This information is then used to mask the original image. Thus, a fine-detailed edge detection is only applied to those parts of an image where global contours exist. After that, said edges are subject to an orientation detection. Moreover, noise and small details can be suppressed, thereby contributing to the robustness of object recognition.

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