Feature detection based on directional co-occurrence histograms
Chikahito Nakajima · 2013
This paper proposes a novel feature-detection method based on the co-occurrence histogram for an image. The method uses eight co-occurrence histograms to emphasize features in the image. The image features are treated as occurrence frequencies of two-pixel combinations in the image. When the proposed method is applied to a drawn image like a rectangle, the corner points are emphasized in the image. When the proposed method is applied to a gamma irradiation image, the noises caused by the irradiation are emphasized in the image. The experimental results indicate that the method can emphasize rare features in the images. The proposed method can be applied as a pre-process of feature detection in an image processing system.