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Evaluation of image processing algorithms

An image processing and algorithm technology, applied in image data processing, 2D image generation, image enhancement, etc., can solve inappropriate and error-prone problems

Inactive Publication Date: 2014-06-25
INT BUSINESS MASCH CORP
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As such, the conventional approach to evaluating image processing algorithms outlined in Figure 1A is inappropriate and error-prone

Method used

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  • Evaluation of image processing algorithms
  • Evaluation of image processing algorithms
  • Evaluation of image processing algorithms

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Embodiment Construction

[0024] Image processing algorithms are routinely used to assess the quality of an image or series of images. Algorithms can be used to evaluate, without limitation, for example, the focus, uniformity of illumination, spatial distortion and / or noise of an image, or to detect defects or changes in the spatial extent of an image relative to a standard. The algorithm provides a figure of merit that attempts to select the "best" image from a series of images, or provides a quantitative measure of variation in a series of images. Typically, the performance of an algorithm can be tested using actual images of samples. The testing of the algorithm suffers since the number of real images in most (if not all) cases involves a large number of parameter variations and uncertainties in the parameter values ​​of interest.

[0025] As mentioned above, these algorithms are usually evaluated by comparing the "best" images chosen by the algorithms with those chosen by humans. Unfortunately, h...

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Abstract

One exemplary aspect of this invention pertains to a method to evaluate an image processing algorithm. The method includes varying a parameter of a model of an imaging system and, for each variation of the parameter, calculating with a data processor a corresponding image of a sample; applying an image processing algorithm to the calculated corresponding images of the sample; and determining an ability of the image processing algorithm to detect the variation in the parameter.

Description

technical field [0001] Illustrative embodiments of the present invention generally relate to a method of systematically and objectively evaluating and improving the effectiveness of image processing algorithms, thereby eliminating uncertainty and variability introduced by human judgment. Background technique [0002] Image processing algorithms typically compute a figure of merit for a series of actual images, and assume that the image with the largest figure of merit is the "best" image. In this regard reference is made, for example, to F.C.A. Groen, I.T. Young, G. Lighthart, "A comparison of different focus functions for use in autofocus algorithms", Cytometry, Vol. 6, pgs. 81-91 (1985). Typically, the quality and effectiveness of such an algorithm is tested by comparing the image selected using the algorithm to an image selected by a human as the "best" image. In this regard, reference can be made to, for example, any of the following publications (and the above-mentione...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/36
CPCG06T11/00G06T2207/30168G06T7/0002H04N5/23212H04N23/673
Inventor P·P·隆戈A·瓦格纳
Owner INT BUSINESS MASCH CORP