Five hundred and twenty seven colorectal carcinomas were reviewed histologically. A multivariate analysis (Cox) was used to test the prognostic importance of certain histological features (invasiveness, inflammatory reaction, and amount of fibrous tissue) at the tumour edge after allowance had been made for clinicopathological stage, tumour site, and histological type and grade. A poorly define...

This paper presents a fast and robust algorithm to identify text in image or video frames with complex backgrounds and compression effects. The algorithm first extracts the candidate text line on the basis of edge analysis, baseline location and heuristic constraints. Support Vector Machine (SVM) is then used to identify text line from the candidates in edge-based distance map feature space. Ex...

One edge of an elastic rod is inserted into a friction-less and fitting socket head, whereas the other edge is subjected to a torque, generating a uniform twisting moment. It is theoretically shown and experimentally proved that, although perfectly smooth, the constraint realizes an expulsive axial force on the elastic rod, which amount is independent of the shape of the socket head. The axial ...

The edges of an image define the image boundary. When the image is noisy, it does not become easy to identify the edges. Therefore, a method requests to be developed that can identify edges clearly in a noisy image. Many methods have been proposed earlier using filters, transforms and wavelets with Ant colony optimization (ACO) that detect edges. We here used ACO for edge detection of noisy ima...

Let G=(V(G),E(G)) be a connected simple undirected graph with non empty vertex set V(G) and edge set E(G). For a positive integer k, by an edge irregular total k-labeling we mean a function f : V(G)UE(G) --> {1,2,...,k} such that for each two edges ab and cd, it follows that f(a)+f(ab)+f(b) is different from f(c)+f(cd)+f(d), i.e. every two edges have distinct weights. The minimum k for which G ...

In this paper, according to the traditional C-V level set model image segmentation of slow speed, low efficiency of initialization and weak ability to capture edge, puts forward a kind of improved C-V level set image segmentation model added edge information of image in model; in the numerical experiment, using narrow band method improved, thereby reducing the amount of computation, improve the...

We report the observation of large (approximately 40%) laser-induced above-band-gap transparency in GaAs at room temperature. The induced transparency is present only during the pulse width of the driving midinfrared laser pulses and its spectral shape is consistent with a laser-induced blueshift of the band edge. Our simulations based on the dynamic Franz-Keldysh effect reproduce the salient f...

1 Maximum flow In the maximum flow problem, we are given a directed graph with a distinguished source node and a distinguished sink node. In addition, each edge has a capacity, which is the largest amount of flow that can go over this edge. Our goal is to route as much flow from the source to the sink as we can, along the edges of the graph. For example, consider the directed graph with capacit...

steel shear walls, like bracings are a resistance system against wind and earthquake loads, which have more advantages than other systems. this paper is investigating the influence of openings on steel shear walls under increasing static loads. for this purpose, the experiments of other researchers on finite elements method have been checked and after investigating the correctness and precision...

The purpose of edge detection in general is to significantly reduce the amount of data in an image, while preserving the structural properties to be used for further image processing. Several algorithms exists, and this worksheet focuses on a particular one developed by John F. Canny (JFC) in 1986 [2]. Even though it is quite old, it has become one of the standard edge detection methods and it ...