The Segmentation of FMI Image Layers Based on FCM Clustering and Otsu thresholding
نویسندگان
چکیده
A key aspect in extracting quantitative information from FMI logs is to segment the FMI image to get image of layers. In this paper, an automatic method based on FCM clustering and Otsu thresholding is introduced in order to extract quantitative information from FMI images. All pixels are clustered using FCM clustering algorithm at the f irst step. The second step uses KNN for other clustering. Then, uncovered columns of FMI image and image inequality are removed. Finally, the Otsu thresholding method is investigated for improving pixel-clustering step. Filed data processing examples show that sub image of layers can be accurately seprated from original FMI images.
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