Intracranial teratomas are rare. We report a case of a purely monodermal teratoma manifesting as intracranial growing teratoma syndrome. To the best of our knowledge, this is the first report of such nature in the literature.

This paper presents a technique for the segmentation of range images. It tends to be a hybrid approach that combines edge detection and region growing techniques toward accomplishing the task of segmentation. The surface coherency property of range data provided an important attribute, .;rhich enabled the improvision of extrinsic knowledge regarding the types of surface primitives existing with...

We present a mesh cutting tool to manually draw the boundary of segmentation while assisting the user with semi-automatic rotation. Based on the current endpoint of the sketch, we predict the potential subsequent position of the boundary point considering the minima rule. After obtaining the complete cutting contour, we segment the input mesh into two separate parts with a region growing algori...

AbstractIn spite of their non-isotropic nature, local growths based on 4-connected or 8-connected neighborhoods are frequently used for binary image dilation, mostly because they are very easy to implement. Altough better dilation techniques exist, they usually require bigger masks, more complex routines, exotical grid definitions or globally processing the image. In this article we propose a n...

Abstract: In this paper, we present a new pipeline which automatically identifies and annotates axoplasmic reticula, which are small subcellular structures present only in axons. We run our algorithm on the Kasthuri11 dataset, which was color corrected using gradient-domain techniques to adjust contrast. We use a bilateral filter to smooth out the noise in this data while preserving edges, whic...

Full-waveform lidar system records the received signals continuously for analysis. As it provides more information than the conventional pulsed lidar, the waveform lidar plays an important role in land cover classification as well as object reconstruction. The objective of this research is to analyze the features of grouped full-waveform lidar point clouds. The two major works are segmentation ...

Cell segmentation from microscopic images is the first stage of the automatic biomedical image processing, which plays a crucial role in the study of cell behaviour which is a very difficult and tedious task because of the variation that exist in illumination and dye concentration of the cells due to the staining procedure. This paper proposes a new method for segmentation of cervical cell nucl...

This paper presents a new LiDAR segmentation technique for automatic extraction of building roofs. First, it uses a height threshold, based on the digital elevation model to divide the LiDAR point cloud into ‘ground’ and ‘non-ground’ points. Then starting from the maximum LiDAR height, and decreasing the height at each iteration, it looks for coplanar points to form planar roof segments. At eac...

Vessel cross-sectional diameter is an important feature for analyzing retinal vascular changes. In automated retinal image analysis, the measurement of vascular width is a complex process as most of the vessels are few pixels wide or suffering from lack of contrast. In this paper, we propose a new method to measure the retinal blood vessel diameter which can be used to detect arteriolar narrowi...

Massive events, as sportive events, involves a huge amount of spectators. Citizens that wish to attend buy a ticket that allows them to seat in a given zone of the stadium with several features, but usually they do not buy the physical seat at the sport ground. Then, one of the duties of the organizing committees is to allocate the different localities of the enclosure to the persons that have ...