Automatic Identification of Soil Layer from Borehole Digital Optical Image and GPR Based on Color Features

Abstract

For the high-resolution borehole image obtained by digital panoramic borehole camera system, a method for recognizing soil layer based on color features is proposed. Due to the obvious difference in color between soil layer and common rock layer, a soil layer detection model based on HSV color space is established. The binarized image of soil layer is obtained by using this model. Secondly, the binary image is filtered to depress the noise effects. Then, the binarized image of the soil layer is divided and the density of pixels in each segmentation is calculated to determine the depth, area and direction of the soil layer, so that the identification of soil layer in the digital borehole image can be achieved. Through verifying this method with many actual borehole images and comparing them with the corresponding borehole radar images, the result illustrate that this method can identify all of the soil layer throughout the whole borehole digital optical image automatically and quickly. It provides a new reliable method for the automatic identification of borehole structural planes in engineering application.