to investigate the patterns of dna ploidy and proliferating activity in breast cancer and relate them to other prognostic factors, paraffin blocks of 53 cases of breast carcinoma were studied. cancer cells obtained by mechanical tissue disaggregation were examined for dna content, ploidy and s-phase fraction. dna assay was done using a cas interactive image analyzing system. all of the cases sh...

The primary target of content based image retrieval is to return a list of images that are most similar to a query image. This is usually done by ordering the images based on a similarity score. In most state-of-the-art systems, the magnitude of this score is very different from a query to another. This prevents us from making a proper decision about the correctness of the returned images. This...

With the rapid development in remote sensing, digital image processing becomes an important tool for quantitative and statistical analysis of remotely sensed images. These images contain most often complex natural scenes. Robust interpretation of such images requires the use of diierent sources of information about the scenes under consideration. This paper presents an integrated approach to th...

Image quality is a characteristic of an image that measures the perceived image degradation (typically, compared to an ideal or perfect image). Imaging systems may introduce some amounts of distortion or artifacts in the signal, so the quality assessment is an important problem JPEG compression is the most prevalent technique or method for image codec’s. But it suffers from blocking artifacts. ...

The de-noising of an image corrupted by Gaussian noise is a classical problem in signal or image processing. An image is often corrupted by noise during its acquisition and transmission. Image de-noising is used to reduce the noise while retaining the important features in the image. Always there exists a tradeoff between the removed noise and the blurring in the image. The use of wavelet trans...

ABSTRACT: Wavelet transforms have become one of the most important and powerful tool of signal representation. Nowadays, it has been used in image processing, data compression, and signal processing. Here, we are discussing about the basic concept for Wavelet Transforms and the fast algorithm of Wavelet Transform. Now-a-days the wavelet theorems make up very popular methods of image processing,...

Mathematical methods used for analysis of biomedical data include many topics of interdisciplinary general area of digital signal and image processing and they cover algorithmic tools for image enhancement, image components detection and their segmentation using feature vectors estimated either in the space and frequency domains by selected statistical methods and functional transforms. The pap...

Let (R , ‖ · ‖) be the space R equipped with a norm ‖ · ‖ whose unit ball has a bounded volume ratio with respect to the Euclidean unit ball. Let Γ be any random N×n matrix with N > n, whose entries are independent random variables satisfying some moment assumptions. We show that with high probability Γ is a good isomorphism from the n-dimensional Euclidean space (R, | · |) onto its image in (R...

Over the past decade wavelet transforms have received a lot of attention from researchers in many diierent areas. Both discrete and continuous wavelet transforms have shown great promises in such diverse elds as image compression, image De-noising, signal processing, computer graphics, and pattern recognition, to name a few. Most of the work has been done on scalar wavelets, i.e., wavelets gene...