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Journal ArticleDOI

A shape recognition scheme based on relative distances of feature points from the centroid

TLDR
The time complexity of the shape matching algorithm is O(m), where m is the number of feature points, and the most important advantage of the method is its independence to translation, rotation and scaling of objects.
About
This article is published in Pattern Recognition.The article was published on 1991-11-01. It has received 118 citations till now. The article focuses on the topics: Centroid & Feature (computer vision).

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Citations
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Journal ArticleDOI

A survey of shape analysis techniques

TL;DR: This paper provides a review of shape analysis methods, which play an important role in systems for object recognition, matching, registration, and analysis.
Journal ArticleDOI

Shape based leaf image retrieval

TL;DR: Experimental results on 1400 leaf images from 140 plants show that the proposed approach can achieve a better retrieval performance than both the curvature scale space (CSS) method and the modified Fourier descriptor (MFD) method.
Proceedings ArticleDOI

Scale-invariant shape features for recognition of object categories

TL;DR: In this article, the authors introduce a new class of distinguished regions based on detecting the most salient convex local arrangements of contours in the image, which are used in a similar way to the local interest points extracted from gray-level images.
Journal ArticleDOI

Robust shape similarity retrieval based on contour segmentation polygonal multiresolution and elastic matching

TL;DR: A novel shape similarity retrieval algorithm that can be used to match and recognize 2D objects using a new multi-resolution polygonal shape descriptor that is invariant to scale, rotation and translation.
Journal ArticleDOI

A content-based image retrieval system

TL;DR: A Content-Based Images Retrieval system which uses a modified geometric hashing technique to retrieve similar shape images from the image database and can accurately retrieve the similar images by using scaled, rotated, or mirrored sketched query images.
References
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Book

Adaptive pattern recognition and neural networks

TL;DR: This is a book that will show you even new to old thing, and when you are really dying of adaptive pattern recognition and neural networks, just pick this book; it will be right for you.
Journal ArticleDOI

Shape Discrimination Using Fourier Descriptors

TL;DR: A critical review is given of two kinds of Fourier descriptors (FD's) and a distance measure is proposed, in terms of FD's, that measures the difference between two boundary curves.
Journal ArticleDOI

Shape Discrimination Using Fourier Descriptors

TL;DR: A critical review is given of two kinds of Fourier descriptors and a distance measure is proposed, in terms of FD's, that measures the difference between two boundarv curves.
Journal ArticleDOI

On the detection of dominant points on digital curves

TL;DR: A parallel algorithm for detecting dominant points on a digital closed curve is presented, which leads to the observation that the performance of dominant points detection depends not only on the accuracy of the measure of significance, but also on the precise determination of the region of support.
Journal ArticleDOI

A Corner-Finding Algorithm for Chain-Coded Curves

TL;DR: A method for detecting sharp "corners" in a chain-coded plane curve is described and a measure for the prominence ("cornerity") of a corner is introduced.
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