This paper presents the use of artificial intelligence techniques such as fuzzy logic for nondestructive X-ray testing of various products. The original presented algorithm proposes the defect presence testing in two stages in the radiographic image obtained from the inspected product. The first stage of the algorithm checks whether a possible defect (an area from the radiographic image) corres...

Relevance feedback mechanism is used in Content-based Image Retrieval (CBIR) to attempt to minimize the amount of interaction between the user and the system required to improve the retrieval system performance. In this work, such system is proposed for weld radiograms in radiographic testing, with the aim of searching from the overall image database, interactively with the radiograph expert, d...

An important part of endodontic diagnosis and treatment is the adequate visualization of root canal anatomy. The objective of the present study was to compare two different three-dimensional cone-beam computed tomography (CBCT) systems, Scanora 3D and 3D Accuitomo 170, with respect to their visualization of endodontic canal systems and potential pathological alterations. Seventy extracted human...

Radiation dose reduction in pediatric X-ray imaging is especially important because of children radiation sensitivity. For any radiographic examination performed at a fixed radiographic tube potential, the patient absorbed dose is directly proportional to the value of milliampere-seconds (mAs) selected by the operator. Nevertheless, reducing X-ray exposure has the unavoidable disadvantage of in...

The ability to resolve 2ne picture detail is of paramount importance in medical imaging systems for viewing small tissue, bone structure and anatomy in X-ray images. In this paper, we present a new digital radiographic image processing system with the property of scalability and adaptability. (i) A new automatic optimization algorithm is proposed for display. (ii) An adaptive detection of a reg...