ATNet: A Defect Detection Framework for X-ray Images of DIP Chip Lead Bonding

A New Approach for Defect Detection in X-ray CT Images

We introduce a novel method to automatically evaluate Xray computed tomography (CT) images for the purpose of detecting material defects by evaluating the significance of features extracted by first order derivative filters. We determine the noise characteristics of an image using robust estimation methods and compute the noise of the filtered image via error propagation. The significance of th...

3D X-ray CT for BGA/CGA Workmanship Defect Detection

Automatic vertebra detection in x-ray images

In this paper we will describe our experiments with x-ray image analysis for vertebra detection in juvenile/adolescent patients with idiopathic scoliotic spines. We will focus on detecting vertebrae location in a anterior-posterior x-ray image in a fully automatic way. For accomplishing this, we propose a set of techniques for (i) isolating the spine by removing other bone structures (e.g. ribs...

A Novel Design for Production of Efficient Flexible Lead-Free Shields against X-ray Photons in Diagnostic Energy Range

Background: Lead-based radiation shields are widely used in radiology departments to protect both workers and patients from any unnecessary exposure to ionizing radiation. Recently there has been a great deal of concern expressed about the toxicity of lead. Human lead toxicity is well documented. In that light, production of environmentally-friendly lead-free radiation shields with less weight ...

Hierarchical Classifiers for Detection of Fractures in X-Ray Images

Fracture of the bone is a very serious medical condition. In clinical practice, a tired radiologist has been found to miss fracture cases after looking through many images containing healthy bones. Computer detection of fractures can assist the doctors by flagging suspicious cases for closer examinations and thus improve the timeliness and accuracy of their diagnosis. This paper presents a new ...