Centroid

About: Centroid is a research topic. Over the lifetime, 4110 publications have been published within this topic receiving 53637 citations. The topic is also known as: barycenter (geometry) & geometric center of a plane figure.

A New Nearest Centroid Neighbor Classifier Based on K Local Means Using Harmonic Mean Distance

Abstract: The K-nearest neighbour classifier is very effective and simple non-parametric technique in pattern classification; however, it only considers the distance closeness, but not the geometricalplacement of the k neighbors Also, its classification performance is highly influenced by the neighborhood size k and existing outliers In this paper, we propose a new local mean based k-harmonic nearest centroid neighbor (LMKHNCN) classifier in orderto consider both distance-based proximity, as well as spatial distribution of k neighbors In our method, firstly the k nearest centroid neighbors in each class are found which are used to find k different local mean vectors, and then employed to compute their harmonic mean distance to the query sample Lastly, the query sample is assigned to the class with minimum harmonic mean distance The experimental results based on twenty-six real-world datasets shows that the proposed LMKHNCN classifier achieves lower error rates, particularly in small sample-size situations, and that it is less sensitive to parameter k when compared to therelated four KNN-based classifiers

Robust centroid target tracker based on novel distance features in cluttered image sequences

Abstract: A real-time adaptive segmentation method based on new distance features is proposed for the centroid tracker. These novel features are distances from the center point of a predicted target to each pixel by a tracking filter in extraction of a moving target. The proposed method restricts clutters with target-like intensity from entering the tracking window with low computational complexity for real- time applications compared with other complex feature-based methods. Comparative experiments show that the proposed method is superior to the other segmentation methods based on the intensity feature only in target detection and tracking.

Computational study of the accuracy of the r-centroid approximation

Abstract: The r -centroid approximation, used in the analysis of intensity measurements of electronic band spectra of diatomic molecules, allows a separation of the band strength into a pure vibrational term (the Franck-Condon factor q v ′ v ″ ) and an electronic term [the electronic transition moment Re ( r )]. The r -centroid approximation is known to have limits to its applicability. However, no specific error limits have previously been given. A computational study has been performed using several molecules and analytic curves to determine specific error limits which can be assigned to either a specific band strength, or in estimating the electronic transition moment using the r -centroid approximation. Other techniques suggested for the evaluation of Re ( r ) have also been tested.

Robust centroid target tracker based on new distance features in cluttered image sequences

Abstract: A real-time adaptive segmentation method based on new distance features is proposed for the centroid tracker. These novel features are distances from the center point of a predicted target to each pixel by a tracking filter in extraction of a moving target. The proposed method restricts clutters with target-like intensity from entering the tracking window with low computational complexity for real- time applications compared with other complex feature-based methods. Comparative experiments show that the proposed method is superior to the other segmentation methods based on the intensity feature only in target detection and tracking.

A method for using three points to define a 2d mr imaging section

Abstract: A method and apparatus for producing an imaging plane on an image of a structure of interest, such as an anatomical structure, positioned in an MRI system. An operator interactively pages through real-time, planar sections of the structure of interest. Using an input device, the operator selects three separate points in a planar section of the structure under study. Within approximately one second of selection of the third point, the method of the present invention determines the imaging plane containing the three selected points, determines the centroid of the imaging plane centered on a triangle defined by the three selected points, sends such imaging geometry and in-plane offsets of the imaging plane directly to the MRI system to generate a new imaging plane optimally positioned with respect to the selected points on the structure of interest and displaying such new imaging plane. The operator can also selectively maneuver the imaging plane on the image of the structure of interest. The operator uses a graphical user interface in conjunction with the input device and a display screen for producing the imaging plane on the structure of interest. Such graphical user interface is referred to as a three point tool.