This paper analyzed the implementational aspects of the contourlet filter bank (or the pyramidal directional filter bank (PDFB)), and considered its application in image coding. First, details of the binary tree-structured directional filter bank (DFB) are presented, including a modification to minimize the phase delay factor and necessary steps for handling rectangular images. The PDFB is view...

This work presents PyramidalExplorer, a new tool to interactively explore and reveal the detailed organization of the microanatomy of pyramidal neurons with functionally related models. It consists of a set of functionalities that allow possible regional differences in the pyramidal cell architecture to be interactively discovered by combining quantitative morphological information about the st...

The precise stereotypic projections of pyramidal neurons within the six-layered cortex of mammals are key in allowing this structure to attain its high level of function. Recent studies have provided the first indications that postmitotic transcription factors are required for the formation and maintenance of both corticofugal and intracortical pyramidal cell populations. Here, we discuss these...

Image Retrieval system is an effective and efficient tool for managing large image databases. A content based image retrieval system allows the user to present a query image in order to retrieve images stored in the database according to their similarity to the query image. In this paper content based image retrieval method is used on digital image data set. The main objective of this paper is ...

Search based on image contents is an important issue in Digital Library which usually relies on large image and video databases. A technique for content-based search (CBS) using a multi-level recognition kernel is presented. Features of model objects are extracted at levels that are most appropriate to yield only the necessary yet su cient details. Together they form the kernel. It is shown tha...

Applicative fields based on the analysis of large images must deal with two important problems. First, the size in memory of such images usually forbids a global image analysis hereby inducing numerous problems for the design of a global image partition. Second, due to the high resolution of such images, global features only appear at low resolutions and a single resolution analysis may loose i...

A multiresolution technique for biomedical image interpolation is presented in this paper. It is an extension of the work on Directional Coherence Interpolation (DCI) [15] – a novel gray-level image interpolation method that interpolates the missing image data along the smoothed Maximum Coherence Directions (MCDs). We propose to apply a pyramidal search strategy for MCD estimation. This coarse-...

In the paper is presented one novel approach for adaptive compression of groups of computer tomography (CT) images, based on modified branched inverse pyramid decomposition. In result is obtained high compression ratio with retained image quality. To achieve this, was used the high correlation between sequences of CT images, representing same object(s). For the processing of a group of CT image...

In this paper, an e cient image content representation is proposed, which is appropriate for content-based indexing and retrieval. In particular, the image content is represented by a hierarchical graph, constructed in a tree or pyramid structure framework. The basic concept is to represent the spatial relations of the objects in the image with an image-graph and then, the object details with a...

Topology plays an important role in computer vision by capturing the structure of objects. Nevertheless, its potential applications have not been sufficiently developed yet. In this paper, we combine topological properties image with hierarchical approaches to build a topology preserving irregular pyramid (TIIP). The TIIP algorithm uses combinatorial maps as data which implicitly capture terms ...