Abstract
X-ray computed tomography is a unique non-destructive technique which is suitable for dimensional measurements and quality testing. X-ray tomography is applied widely not only in the traditional medical area, but in natural science and engineering fields. The result of tomography is a volumetric map of attenuation coefficients which has, in fact, a limited practical sense. Usually, segmentation that converts the map into binary objects by means of threshold value is applied. In this paper we discuss the some key features of segmentation applied to a test object which is gravel composed of unconsolidated rock fragments. Gravel appeared to be a challenging object for segmentation and image recognition. One of effective approach for image processing of tomographic data, among many possible ones, is presented in this paper.
Highlights
X-ray XCT is a non-destructive technique for imaging the internal structure of solid objects
Segmentation is an operation applied to a grayscale image to convert it into a binary image by using some segmentation algorithm and some threshold level
XCT is a powerful technique for investigation the internal structure of objects
Summary
X-ray XCT is a non-destructive technique for imaging the internal structure of solid objects. The interaction of X-rays with matter is a base of XCT technique. The set of projections is reconstructed and a volumetric map of attenuation coefficients is obtained. The purpose of dedicated software is reconstruction, and reduction of artifacts and basic imaging operations, that are required for further processing such as segmentation and quantification [1, 2]. This operation converts the map into binary objects by means of threshold value chosen manually or by some algorithm. On this first step, one can encounter unavoidable difficulties which are inherited from nonlinearity and complexity of X-ray and matter interaction. The most common procedure is quantitative analysis that deals with separate binary objects produced by segmentation
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