For the purpose of object detection, Haar-Like Features (HLF) proposed by Viola [13][14] are very famous. To classify images, usually HLF and its extensions used only image intensity. However, it is well known that the gradient information of image intensity is very important for the object recognition [2][9]. So in this paper, we propose a feature which uses both intensity and gradient informa...

In order to recognize actions of a human properly, an algorithm must be able to detect a person accurately in any given image. This data will be used to ascertain what action the user is performing. Many methods have been proposed that use a difference picture technique in which the image of the user is subtracted from a previously known image with the same background, without the user. These m...

Medical images are of great importance in radiotherapy, which became a privileged application field for image processing techniques. Moreover, because of the progression of the computers’ performances, these techniques are also in full expansion. Today, the recent developments of the radiotherapy (3DCR, IMRT) offer a huge place to them. Effectively, they can potentially answer to the precision ...

Introduction: Radiation therapy planning (RTP) is one of the clinical applications in which both CT scan and MRI are used. MR and CT images are applied to determine the target volume and calculation of dose distribution, respectively. In addition, using two imaging modalities increases the department workload and cost. In this study, an algorithm was presented to create synthet...

This paper investigates the problem of automating the analysis of mammograms and reports on the use of a method, named Constructive Image Partitioning in conjunction with a space-variant sensor. The algorithm iteratively partitions the input image at multiple resolutions concurrently. It isolates visual entities in the image by generating closed contours on the basis of light intensity data. Th...

We report on a self-adaptive waveform centroid algorithm that combines the selection of double-scale data and intensity-weighted (DSIW) method for accurate LiDAR distance–intensity imaging. A time window is set to adaptively select effective data. At same time, can reduce influence sharp noise calculation. The horizontal vertical coordinates point obtained by proposed are utilized record distan...

Edges characterize boundaries, which define the important structural properties of an image. Therefore edge detection is a problem of fundamental importance in image processing; many tasks in image processing, to be performed successfully, depend on a reliable edge detection mechanism. Edges in images are areas with strong intensity contrasts – a jump in intensity from one pixel to its neighbor...

Osteosarcomas are especially rare in the mandible and maxilla, representing 1.6% of all bony malignant tumours. In this article, we described a case of osteosarcoma of the mandible. Computed tomography (CT) image showed a well-circumscribed homogeneous mass, with nonhomogeneous contrast enhancement. T1-weighted magnetic resonance imaging (MR) image showed intermediate signal intensity on, and a...

This thesis presents five new methods for optical flow recovery, all utilising colour as well as intensity information from image sequences. Most work in the field of motion estimation in the past has used intensity information only. The new methods are shown to perform well, some of them outperforming common intensity-only methods. During this research an application was created to enable the ...

Image intensity and edge are two major sources of information for estimating the motion in the image plane. The 2-D motion obtained by analyzing the deformation of intensity and/or edges is used to recover the 3-D motion and structure. In this paper we show that the motion defined by the image intensity differs from the motion revealed by the (zerocrossing) edge. Understanding of this discrepan...