Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Znaleziono wyników: 4

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: shape similarity

Sortuj według:

Ogranicz wyniki do:

A comprehensive study of clustering a class of 2D shapes

Kaliszewska Agnieszka, Syga Monika

International Journal of Applied Mathematics and Computer Science

2022

Vol. 32, no. 1

95--109

The paper is concerned with clustering with respect to the shape and size of 2D contours that are boundaries of cross-sections of 3D objects of revolution. We propose a number of similarity measures based on combined disparate Procrustes analysis (PA) and dynamic time warping (DTW) distances. A motivation and the main application for this study comes from archaeology. The computational experiments performed refer to the clustering of archaeological pottery.

An Optimization Method of Text Image

Ciao G., Xu X.

Przegląd Elektrotechniczny

2013

R. 89, nr 1b

196--198

This paper presents a novel method to generate outline-based text image, that approximates the major line structure of the underlying image content, and hence the resultant text fits nicely into the small text screen of mobile devices. We mimic how text image artists deform the underlying image in order to approximate the image content with the limited variety of character font structure. The generation is formulated as an optimization problem that minimizes the shape dissimilarity. Convincing results are shown to demonstrate the effectiveness of the proposed method.

W artykule przedstawiono nową metodę tworzenia obrazu tekstu, na podstawie szkicu. Algorytm aproksymuje strukturę głównej linii zawartej w obrazie w tle, a tekst wynikowy dopasowuje się do małych ekranów, jak w telefonach komórkowych. W metodzie naśladowany jest sposób odkształcenia obrazu w tle, w celu określenia jego zawartości, przy pomocy danej różnorodności znaków. Algorytm pozwala na minimalizację różnic w kształcie obrazów.

Recognizing Sharp Features of 2-D Shapes

Gewali L., Scanlan J. P.

International Journal of Electronics and Telecommunications

2010

Vol. 56, No. 2

153-156

We present an efficient algorithm for recognizing and extracting sharp-features from complex polygonal shapes. The algorithm executes in O(n²) time, where n is the number of vertices in the polygon. Sharp-feature extraction algorithms can be useful as a pre-processing step for measuring shape-similarity between polygonal shapes.

CG-guided signature of polygons

Gewali L., Jain H.

Systems Science

2009

Vol. 35, no 2

89-93

The notion of signature has been useful in measuring similarity between polygonal shapes. The standard signatures of all convex polygons are identical and equal to a constant function. We propose a variation of the standard signature called cg-guided signature which is capable of distinguishing different convex shapes.