This paper focuses on the retrieval of complex images based on their textural content. We use GMRF for texture discrimination and a region-growing algorithm for texture segmentation. Relevance feedback is introduced to improve retrieval accuracy.

This paper presents a Delaunay-based region-growing (DBRG) surface reconstruction algorithm that holds the advantages of both Delaunay-based and region-growing approaches. The proposed DBRG algorithm takes a set of unorganized sample points from the boundary surface of a threedimensional object and produces an orientable manifold triangulated model with a correct geometry and topology that is f...

In this paper, we propose a scheme composed of the spatial and inter-slice analyses to achieve tumor region identification in MRI breast images. Our spatial analysis evaluates the intensity and size information of candidate regions, while the inter-slice analysis is based on the continuity characteristic to verify the static behavior of tumor regions. To find a precise region, a region growing ...

In this paper, a novel approach to localize human iris centers in facial images is proposed. From the estimated nose center of the detected face, the proposed method searches for the possible iris edge by gradually growing a rectangle, and then localizes the iris center in an expected region by searching for the pixel, which has the minimum average intensity. Experimental results show that this...

Semi-automatic methods are regarded as more practical than automatic methods to obtain and/or update the vector road data. But road tracking methods lose their efficiencies when they are applied to track a long straight roads step by step compared to manual digitalizing. So an efficient semi-automatic method is proposed in this paper. Particularly, spoke wheel algorithm and region growing algor...

Breast cancer is already one of the most common form of cancer worldwide. Mammography image analysis is still the most effective diagnostic method to promote the early detection of breast cancer. Accurately segmenting tumors in digital mammography images is important to improve diagnosis capabilities of health specialists and avoid misdiagnosis. In this work, we evaluate the feasibility of appl...

In the study of complex networks almost all theoretical models have the property of infinite growth, but the size of actual networks is finite. According to statistics from the China Internet IPv4 (Internet Protocol version 4) addresses, this paper proposes a forecasting model by using S curve (Logistic curve). The growing trend of IPv4 addresses in China is forecasted. There are some reference...