There is a great significance of Image retrieval in multimedia and for image retrieval shape is one of the promising features. This paper presents a survey on one of the method of image retrieval based on shape. First, Shape context is described in this paper and the various versions of it that are implemented are given in detail. This paper gives a summarized view of all the methods of shape c...

Retrieval image by shape similarity, given a template shape is particularly challenging, owning to the difficulty to derive a similarity measurement that closely conforms to the common perception of similarity by humans. In this paper, a new method for the representation and comparison of shapes is present which is based on the shape matrix and snake model. It is scaling, rotation, translation ...

This paper describes a technique for building compact models of the shape and appearance of flexible objects (such as organs) seen in 2-D images. The models are derived from the statistics of sets of labelled images of examples of the objects. Each model consists of a flexible shape template, describing how important points of the object can vary, and a statistical model of the expected grey le...

The annual SHape REtrieval Contest (SHREC) measures the performance of 3D model retrieval methods for several different types of models and retrieval purposes. In this contest the structural shape retrieval track focuses on the retrieval of 3d models which exhibit a relevant similarity in the shape structure. Shape structure is typically characterised by features like protrusions, holes and con...

Trademark image retrieval (TIR), a branch of content-based image retrieval (CBIR), is playing an important role in multimedia information retrieval. This paper proposes an effective solution for TIR by combining shape description and feature matching. We first present an effective shape description method which includes two shape descriptors. Second, we propose an effective feature matching str...

Content-based image retrieval (CBIR) is playing an important role in multimedia information retrieval. This paper proposes an effective solution for IR by combining shape description and feature matching. First, an effective shape description method which includes two shape descriptors is presented. Second, an effective feature matching strategy to compute the dissimilarity value between the fe...

Shape is one of the primary low level image features in the newly emerged Content Based Image Retrieval (CBIR). Many shape representations have been proposed, and they are generally classified into contour-based methods and region-based methods. Contour-based methods capture shape boundary features while ignore shape inner content. Region-based methods capture shape inner features while do not ...

An experimental investigation on shape retrieval using Quadratic Polynomial Interpolation of Adjacent Landmarks (QPIAL), a newly proposed shape refinement method [1], is carried. Shape representation is a fundamental issue in the process of shape retrieval, a category of Content-Based Image Retrieval (CBIR). Many shape representations and shape refinement methods have been proposed. Fourier Des...

Shape is one of the primary low level image features in Content Based Image Retrieval (CBIR). Many shape representations and retrieval methods exist. However, most of those methods either do not well capture shape features or are difficult to do normalization (making matching difficult). Among them, methods based Fourier descriptors (FDs) achieve both good representation (perceptually meaningfu...