Processing method, image processing system and computer program
AssigneeFUJIFILM Corporation
InventorAkira Oosawa
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AssigneeFUJIFILM Corporation
InventorAkira Oosawa
Estimating the term…
About 11 months of term left · ends 22 Sep 2027 (estimated)
Image analysis is executed by the use of an image representing an object. The image has image processing information, on image processing which the image has undergone, attached to the image. The image processing information attached to the image is obtained from the image and the image is corrected on the basis of the image processing information so that the image approaches to an image optimal to the image analysis. The image analysis is executed by the use of the corrected image.
A method of image processing for executing an image analysis comprising:
A system for executing an image analysis comprising:
A tangible computer readable medium having stored therein a program for causing a computer to execute image processing, said program including computer executable instructions for performing steps comprising:
Dependencies are inferred from the claim text.
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Dynamic range modification of images or parts thereof: based on global image properties
Image enhancement or restoration: using histogram techniques
Subject of image; Context of image processing: biomedical image processing
Image data processing or generation, in general
From the US filing history. Foreign family members aren’t listed.
1. Field of the Invention
This invention relates to a method of and a system for image processing and a computer program for image processing, and more particularly to a method of and a system for image processing in which an image analysis processing is carried out by the use of the image of an object, and a computer program for causing a computer to execute the image analysis.
2. Description of the Related Art
FIG. 1 is a block diagram showing an image processing system in accordance with an embodiment of the present invention,
FIG. 2 is a view showing an example of the gradation curve employed in the gradation processing,
FIG. 3 is a flow chart showing operation of the image processing system 1 in accordance with a first embodiment of the present invention,
In FIG. 1, an image processing system 1 in accordance with an embodiment of the present invention comprises an image processing information obtaining means 10 which obtains from an input image P the image processing information T attached thereto, a correction means 20 which corrects the image P on the basis of the image processing information T so that the image P approaches to an image optimal to the image analysis and an image analysis means 30 which executes the image analysis by the use of the corrected image.
The case where CAD processing (abnormal shadow detection) is executed by the use of a medical image will be described, here.
As a first embodiment of the present invention, the following conditions are first set. It is assumed that the image P is a medical image and the image processing information T is attached to the image P as header information of the image P. The image processing information T includes processing check information which represents whether or not the image is a processed image which has undergone image processing, and includes, when the processing check information represents that the image is a processed image, processing condition information which represents the conditions under which the image processing has been carried out on the image. For example, the processing check information is a parameter Z which represents whether or not the image is a processed image by a value 0 or 1, and the processing condition information is a parameter G which represents the number of type of the gradation curve employed in the gradation processing. It is assumed that the image optimal to the CAD is an image Po before the image processing (corresponding to the original image), and the image processing is gradation processing. In the gradation processing, a gradation curve representing the correspondence of the pixel values of the image before processing to the pixel values of the image after processing as shown in FIG. 2 is set and the pixel values are transformed according to the set gradation curve. A plurality of gradation curves are prepared in advance in a plurality of types.