In the past, the plants have been studied for various reasons whether it is for medicine or diseases classification. A plant can be classified on the basis of its flowers, size and shape of the leaves including color, barks etc. The role of leaves in taxonomic classification of plants is very essential. This paper studies the effect of leaf image quality improvement by sharpening and enhancing ...

The paper introduces the extraction of objects that are higher than their surroundings, like houses, trees, or bridges, by combining the results of a segmentation of a DTM and a texture analysis of the gray image. We propose a new algorithm (called dual rank) to extract the ground in the DTM, which can be seen as an extension of the gray opening. The extraction of trees in the gray image is don...

In this article a texture feature extrac tion scheme based on M band wavelet packet frames is investigated The features so extracted are used for segmentation of satellite images which usually have complex and overlapping boundaries The underly ing principle is based on the fact that di erent im age regions exhibit di erent textures Since most signi cant information of a texture often lies in t...

This paper describes an efficient technique for out-of-core rendering and management of large textured terrain surfaces. The technique, called Batched Dynamic Adaptive Meshes (BDAM) , is based on a paired tree structure: a tiled quadtree for texture data and a pair of bintrees of small triangular patches for the geometry. These small patches are TINs and are constructed and optimized off-line w...

This study aims to generate synthetic and realistic retinal fundus colour images, similar in characteristics to a given dataset, as well as the values of all morphological parameters. A representative task could be, for example, the synthesis of a retinal image with the corresponding vessel tree and optic nerve head binary map, measurement of vessel width in any position, fovea localisation and...

In this paper we illustrate an application that displays high-resolution images on Multi-Projector Tiled High Resolution Display Wall. Our goal is to enable the users to view high-resolution image data, such as photos from satellites and microscopes. Panoramas can also be played circularly. Users can pan across the image, scale the image, and play panoramas interactively. Our prototype is imple...

Filtering image email spam is considered to be a challenging problem because spammers keep modifying the images being used in their campaigns by employing different obfuscation techniques. Therefore, preventing text recognition using Optical Character Recognition (OCR) tools and imposing additional challenges in filtering such type of spam. In this paper, we propose an image spam filtering tech...

We present a multiresolution technique for interactive texture based rendering of arbitrarily oriented cutting planes for very large data sets. This method uses an adaptive scheme that renders the data along a cutting plane at different resolutions: higher resolution near the point-of-interest and lower resolution away from the point-of-interest. The algorithm is based on the segmentation of te...

This paper proposes a new object-based approach to similar image retrieval. First the salient regions of an image are detected by using a novel segmentation method based on a multi-scale inhomogeneous diffusion model applied to color and texture features. Each detected region is then represented by a feature vector composed from the characteristic color, texture and shape features of a region w...

Wavelet-domain hidden Markov models (HMMs) are powerful tools for modeling the statistical properties of wavelet transforms. By characterizing the joint statistics of wavelet coe cients, HMMs e ciently capture the characteristics of many real-world signals. When applied to images, the model can characterize the joint statistics between pixels, providing a very good classi er for textures. Utili...