Millimeter waves can be used to detect concealed objects because they can penetrate clothing. Therefore, millimeter wave imaging draws increasing attention in security applications for the detection of objects under clothing. In such applications, it is critical to estimate the distances from objects concealed in open spaces. In this paper, we develop a segmentation-based stereo-matching method...

Road-surface microtexture (sub-millimeter scale) is essential for pavement skid-resistance. However, its measurement is only possible in laboratory on cores taken from trafficked roads, and is time consuming. For an efficient road monitoring, it is necessary to develop faster methods and usable on-site. Collaboration has been developed for two years between LCPC and the laboratory Signal, Image...

Interpretation of MRI images is difficult due to inherent noise and inhomogeneity. Segmentation is considered as vitally important step in medical image analysis and classification. Several methods are employed for medical image segmentation such as clustering method, thresholding method, region growing etc. In this paper, attention has been focused on clustering method such as Fuzzy C-means cl...

2D projections of the real 3D space are the only available information in the imaging technics like in XRay and MRI. In this paper we study projections of images as generated by Radon transformation. We implemented an image reconstruction algorithm which receives different projections of the original image as input. We performed this experiment using artificially created image in order to test ...

This research investigates the technique of image subtraction to find the discrepancy between healthy and illness MRI images. The technique developed in this research moves the healthy MRI image to overlap with the illness MRI image. Then, the two MRI images are aligned to the same orientation. After the healthy MRI image is overlapped with the illness MRI image, the illness MRI image is subtra...

Image Segmentation is an important and challenging factor in the field of medical image processing. In the present days, for the human body anatomical study and for the treatment planning medical science very much depend on the medical imaging technology and medical images. Specifically for the human brain, MRI (Magnetic Resonance Imaging) widely prefers and using for the imaging. But by nature...

Magnetic-resonance imaging (MRI) is a non-invasive method to generate three-dimensional images which have a high information content and is used in various fields, ranging from human medicine to material science. In microimaging, the spatial resolution of MRI can approach one micrometer in favorable systems. Magnetic-resonance force microscopy (MRFM) has opened an avenue for extending imaging t...

The Magnetic Resonance Image (MRI) may be valuable techniques for learning the structural property of the human brain. However, the reproducibility of imaging results, that arises from swish intensity variation happens the entirety MR image, named as Intensity in-homogeneity or nonuniformity. The intensity in-homogeneity may be a hurdles encountered in human and computer interpretations and ana...