SimpleITK/Design And Proposals/SIP 002: Difference between revisions
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Brad Lowekamp: ''Comments can be made here'' | Brad Lowekamp: ''Comments can be made here'' | ||
== Section 1 == | == Section 1 == |
Revision as of 14:54, 4 February 2016
SIP 002 - Data Bridge for SimpleITK
Introduction
SimpleITK is an emerging useful tool for image analysis, segmentation and registration by providing a simplified interface to ITK in variety of programming language. However, many users implement and develop their image processing methods with the N-dimensional array object and functions of the Numpy package in parallel.
To support data transparency between the functions of SimpleITK and NumPy, SimpleITK provides functional integration with NumPy-based script and a method of data-conversion between SimpleITK’s image data and the N-dimensional array object of NumPy. But, there is a significant performance bottleneck in the data-conversion which is based on the operation of data copy. The performance bottleneck can be increased with the size of handling image data and the number of data-conversion.
We wish to remove the performance bottleneck by allowing SimpleITK’s image and the arrays of NumPy to share pointers to the same memory symmetrically with copy-on-write semantics. In addition, we wish these enhancements will deliver the performance improvements to many existing SimpleITK’s scripts through a simple library update.
Comments
Brad Lowekamp: Comments can be made here
Section 1
The comments should be at the end of the sections's subsections.
Sub Section A
More details here.