Multiresolution browsing of pathology images using wavelets

نویسندگان

  • James Zijun Wang
  • John Nguyen
  • Kin-Koi Lo
  • Christine Law
  • Donald P. Regula
چکیده

Digitized pathology images typically have very high resolution, making it difficult to display in their entirety on the computer screen and inefficient to transmit over the network for educational purposes. Progressive zooming of pathology images is desirable despite the availability of inexpensive networking bandwidth. An efficient progressive image resolution refining system for on-line distribution of pathology image using wavelets has been developed and is discussed in this paper. The system is practical for real-world applications, pre-processing and coding each 24-bit image of size 2400 x 3600 within 40 seconds on a Pentium II PC. The transmission process is in real-time. Besides its exceptional speed, the algorithm has high flexibility. The server encodes the original pathology images without loss. Based on the image request from a client, the server dynamically generates and sends out the part of the image at the requested scale and quality requirement. The algorithm is expandable for medical image databases such as PACS.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Pathfinder: multiresolution region-based searching of pathology images using IRM

The fast growth of digitized pathology slides has created great challenges in research on image database retrieval. The prevalent retrieval technique involves human-supplied text annotations to describe slide contents. These pathology images typically have very high resolution, making it difficult to search based on image content. In this paper, we present Pathfinder, an efficient multiresoluti...

متن کامل

Browsing and Placement of Multi-Resolution Images on Secondary Storage

Image decomposition techniques such as wavelets are used to provide multiresolution representations of images. The original image is represented by several coef-cients, one of them with visual similarity to the original image, but at a lower resolution. Several strategies are evaluated to store the image coeecients on parallel disks so that thumbnail browsing as well as image reconstruction can...

متن کامل

A texture descriptor for browsing and similarity retrieval

Image texture is useful in image browsing, search and retrieval. A texture descriptor based on a multiresolution decomposition using Gabor wavelets is proposed. The descriptor consists of two parts: a perceptual browsing component (PBC) and a similarity retrieval component (SRC). The extraction methods of both PBC and SRC are based on a multiresolution decomposition using Gabor wavelets. PBC pr...

متن کامل

A multiresolution analysis for tensor-product splines using weighted spline wavelets

We construct biorthogonal spline wavelets for periodic splines which extend the notion of “lazy” wavelets for linear functions (where the wavelets are simply a subset of the scaling functions) to splines of higher degree. We then use the lifting scheme in order to improve the approximation properties with respect to a norm induced by a weighted inner product with a piecewise constant weight fun...

متن کامل

Integrating Visual Ontologies and Wavelets for Image Content Retrieval

One of the challenging problems for image content retrieval is how to represent semantics of images. We have proposed a new representation for image contents using visual ontologies and wavelets. We will discuss how to represent the shape of objects/regions of interest, colour distribution and texture of the images integrating visual ontologies with wavelets. Our ideas are: (1) propose a set of...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Proceedings. AMIA Symposium

دوره   شماره 

صفحات  -

تاریخ انتشار 1999