Shape-based Invariant Texture Indexing

Shape Knowledge Indexing Using Invariant Shape Code

Shape knowledge indexing is crucial in design reuse and knowledge engineering, in which the pivot issue is to establish the unique representation of the invariant shape properties. In this paper we present a local shape-indexing scheme defined on the Fourier spectrum of the shape distribution. We theoretically prove that our shape code is strictly invariant of affine transformations, and be sui...

Rotation Invariant Texture based Image Indexing and Retrieval

In this paper, a method is proposed for Image Retrieval based on analysis of texture properties of an image. Texture is the primitive image descriptors in content based image retrieval systems. We first calculate directional properties of texture pattern in each image of our database by applying Radon transformation. The directional properties are used to rotate the image with the dominant orie...

Invariant texture indexing using topographic maps Indexation de texture et carte topographique

Image Indexing using Composite Color and Shape Invariant Features

New sets of color models are proposed for object recognition invariant to a change in view point, object geometry and illumination. Further, computational methods are presented to combine color and shape in-variants to produce a high-dimensional invariant feature set for discriminatory object recognition. Experiments on a database of 500 images show that object recognition based on composite co...

Texture based image indexing and retrieval

The Content Based Image Retrieval (CBIR) has been an active research area. Given a collection of images, it is to retrieve the images based on a query image, which is specified by content. The present method uses a new technique based on wavelet transformations by which a feature vector of size ten, characterizing texture feature of the images is constructed. Our method derives feature vector(1...