Learn More
The study aims to improve the performance of current computer-aided schemes for the detection of lung lesions, especially the low-contrast in gray density or irregular in shape. The relative position between suspected lesion and whole lung is, for the first time, added as a latent feature to enrich current Three-dimensional (3D) features such as shape,(More)
To prevent an intelligent vehicle from departing the lane in the vision-based navigation, an integrated method based on image processing is proposed to detect the road boundary and lane marking synchronously in structural road environment. The feature of the road boundary is extracted by means of gradient magnitude and gradient direction of pixels. And the(More)
A novel algorithm of Three Dimension matrix (3D matrix) pattern based Minimum Within-Class Scatter Support Vector Machines (MCSVMs3Dmatrix) is presented. Combining Minimum Within-Class Scatter Support Vector Machines (MCSVMs) and higher-order tensor technology, decision functions of MCSVMs3Dmatrix are calculated along with three orthogonal directions in the(More)
After introducing the wireless network communication technology ZigBee and the features, advantages and application rule of the wireless single chip microcomputer cc2430, which is a true system-on-chip (SOC) loading ZigBee technology, the article introduced the design method of mine alarm system based on ZigBee technology. The composition of the mine alarm(More)
In allusion to the low contrast of the image between the backdrop and the small blood vessels, the blurred and fuzzy background of coronary artery image, a new blood vessel extraction method based on degree is proposed. First of all, two enhanced coronary angiograms are obtained from the original image by using two different image enhancement methods.(More)
Aiming at the complex background of coronary angiograms, weak contrast between the coronary arteries and the background, a new segmentation method based on transition region extraction is proposed. Firstly, we construct 6 different Gaussian templates that are used to enhance the coronary angiograms. Then the transition region is extracted by using local(More)
Existing techniques for the simultaneous encryption and compression of three-dimensional (3D) image sequences (e.g., video sequences, medical image sequences) may come with sufficient decryption accuracy or compression ratio, but do not inherently have both; the relationship between them is generally ignored because the images of a sequence are handled(More)
BACKGROUND The existing techniques for simultaneous encryption and compression of images refer lossy compression. Their reconstruction performances did not meet the accuracy of medical images because most of them have not been applicable to three-dimensional (3D) medical image volumes intrinsically represented by tensors. METHODS We propose a tensor-based(More)
An Active Appearance Model (AAM) is a computer vision model which can be used to effectively segment lung fields in CT images. However, the fitting result is often inadequate when the lungs are affected by high-density pathologies. To overcome this problem, we propose a Higher-order Singular Value Decomposition (HOSVD)-based Three-dimensional (3D) AAM. An(More)
Tensor Compressive Sensing (CS) is an emerging approach for higher order data representation, such as medical imaging, video sequences and multi-sensor networks. In this paper, we propose an Adaptive Tensor CS (ATCS) scheme for Three-dimensional (3D) images, especially those which contain noise. First, we find the relationship between reconstruction(More)