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A novel method for image retrieval based on structure ...
The multi-texton histogram (MTH) is proposed for image retrieval, MTH integrates the advantages of co-occurrence matrix and histogram by representing the attribute of co-occurrence matrix using histogram . A novel image feature detecting and describing method called micro-structure descriptor (MSD) is proposed.
An Efficient and Robust Technique for Region Based Shape ...
A simple, fast, robust, invariant and efficient Content Based image Retrieval system with shape signatures derived from skeleton, region and boundary of the object is presented.
An effective image retrieval based on optimized genetic ...
The shape is an important attribute for identifying and recognizing objects. This feature can be extracted by using two techniques namely, (1) contour based technique—which calculates are the shape from image boundary, (2) region based technique—extracts the whole region of the image....
A novel image representation and learning method using SVM ...
Support vector machines (SVM) is gaining a considerable attention as an approach to improvement performance of the content-based image retrieval (CBIR). Most SVM for CBIR rely on global feature, which length of the feature representation is fixed. However, region-based image retrieval (RBIR) use variable length representation, and common kernel utilize the inner product or l<sub>p&lt ......
A region-based shape descriptor using Zernike moments ...
In order to retrieve an image from a large image database, the descriptor should be invariant to scale and rotation. It must also have enough discriminating power and immunity to noise for retrieval from a large image database. The Zernike moment descriptor has many desirable properties such as rotation invariance, robustness to noise, expression efficiency, fast computation and multi-level ......
Review of shape representation and description techniques ...
4. Region-based shape representation and description techniques. In region based techniques, all the pixels within a shape region are taken into account to obtain the shape representation, rather than only use boundary information as in contour base methods. Common region based methods use moment descriptors to describe shapes....
 Novel CBIR System Based on Ripplet Transform Using ...
Content Based Image Retrieval (CBIR) system is an emerging research area in effective digital data man-agement and retrieval paradigm. In this article, a novel CBIR system based on a new Multiscale Geometric Analysis (MGA)-tool, called Ripplet Transform Type-I (RT) is presented. To improve the retrieval result...
A fast and effective image retrieval scheme using color ...
The rapid growth of digital image collections has prompted the need for development of software tools that facilitate efficient searching and retrieval of images from large image databases. Towards this goal, we propose a content-based image retrieval scheme for retrieval of images via their color, texture, and shape features. Using three specialized histograms (i.e. color, wavelet, and edge ......
A Novel Image Retrieval System Using ACO and Relevance ...
Content-based image retrieval uses the visual contents of an image such as color, shape, texture, and spatial layout to represent and index the image. In typical content-based image retrieval systems, the visual contents of the images in the database are extracted and described by multi-dimensional feature vectors....
Region based Image Indexing and Retrieval System
To overcome the deficiencies of global and grid based methods, Region based image retrieval (RBIR) technique is used. In RBIR system, Image is represented at the object- level by using segmentation method to break image into objects (i.e. homogeneous regions) [6]. It contributes to more...
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