In this paper, we propose a novel classification method for lung nodules from CT images based on hybrid features. Towards nodules of different types, including well-circumscribed, vascularized, juxtapleural, pleural-tail, as well as ground glass optical (GGO) and non-nodule from CT scans, our method has achieved promising classification results. The proposed method utilizes hybrid descriptors c...

In this paper the geometrical description of viscoelastic contacts is described using physical modeling concepts based on energy conservation and network theory. The proposed model is on one side simple enough to be used in real time applications and on the other captures the geometrical features and coupling of a complete spatial geometric unisotropical contact.

Wound healing rate remains an interesting and important issue, in which modern imaging techniques have not yet given a definitive answer. In order to guide better therapeutic interventions, a better understanding of the fundamental mechanisms driving tissue repair are required. The wound healing rate is primarily quantified by the rate of change of the wound’s surface area. The objective of thi...

In the application of content-based image retrieval, the ideal characteristics should be invariance to geometrical transformations. That is, once the image undergoes geometrical transformations, we expect the features extracted from the image are invariant. Thus, in this paper, rotation, scaling and translation (RST) invariant features for image retrieval are investigated, and a new method is p...

The pulse-coupled neural network (PCNN) has been widely used in image processing. The outputs of PCNN represent unique features of original stimulus and are invariant to translation, rotation, scaling and distortion, which is particularly suitable for feature extraction. In this paper, PCNN and intersecting cortical model (ICM), which is a simplified version of PCNN model, are applied to extrac...

In order to recover 3D-information from stereo image pairs, a number of stereo matching methods are available. These methods mainly differ in various tokens which are applied to solve the correspondence problem between left and right image. In most of the line segment based stereo matching algorithms, geometrical and structural information is used to estimate the correspondence. Unfortunately t...

This paper details the development of a novel method for automatic segmentation of collapsed colon lumen based on a prior knowledge of colon geometrical features and anatomical structure. After the removal of surrounding air voxels and lungs from the volumetric Computed Tomography(CT) data, labelling was performed to detect the remaining air voxel regions inside the CT data. Volume by length an...

Existing methods for text detection in images are simple: most of them are based on texture estimation or edge detection followed by an accumulation of these characteristics. Geometrical constraints are enforced by most of the methods. However, it is done in a morphological post-processing step only. It is obvious, that a weak detection is very difficult — up to impossible — to correct in a pos...

Abstract—This work deals with the analysis of the impact of additive noise on the geometrical features of the space vector shape on the complex plane. The space vector shape is of great importance in the power quality analysis of modern three-phase power systems since its geometrical features are closely related to the voltage supply quality. In case of voltage sag or swell the space vector sha...