Identification of cuttings based on color and texture feature
Yao Hong Jin · Journal of Sichuan University · 2014
In current cutting logging,low recognition rate and identifying slow are the main existing problems.In order to solve these problems,some studies about cuttings identification has been made from the feature extraction and classification.Within the idea of the two categories,first via color and the Sum and Difference Histograms feature,the cuttings will be roughly divided into mudstone and sandstone by Native Bayes classifier.Then the mudstone and sandstone independent via color and the Sum and Difference Histogram feature subdivided with classifier.The experimental show that the accuracy about 94.79%for roughly division and 97.59%for mudstone subdivision,90.28%for sandstone subdivision.This identification method is suitable for the application requirements and has a higher recognition rate,and it will provide a reliable basis for the further cuttings identification.