Diagnostic apparatus for lesion, image processing method in the same apparatus, and medium storing program associated with the same method
AssigneeCasio Computer Co., Ltd.
InventorsYoshiharu Houjou, Nobuhiro Aoki, Shigeki Mineo
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Abstract
The invention provides a method of processing an image in a diagnostic apparatus 100 of diagnosing a lesion using a captured image of an affected area to be diagnosed, comprising the steps of: (i) classifying the captured image based on a stage of a progression of the lesion (Step S13 and S14); and (ii) performing an image conversion processing, which corresponds to a classification obtained as a result of step (i), on the captured image to generate a converted image (Step S15-17).
Claims16
An image processing method in a diagnostic apparatus for diagnosing a lesion using a captured image of an affected area to be diagnosed, the method comprising:
- performing an image conversion processing corresponding to a first state of disease on the captured image to generate a converted image,
- wherein the image conversion processing comprises a structure clarifying conversion process corresponding to the first state of disease,
- wherein the structure clarifying conversion process comprises:
- performing a first separation process of separating the captured image into a brightness component and a color information component;
- performing a second separation process of separating the brightness component into a base component and a detail component;
- performing highlighting processing on the base component;
- and
- performing a generation process of restoring a brightness component based on a highlighting-processed base component and the detail component, and using the color information component to generate a highlighted image, and
- wherein in the generation process, the highlighting-processed base component is added to the detail component to restore the brightness component, and a conversion to a second color space is performed based on the restored brightness component and the color information component corresponding to a direction of a red-based color and a direction of a blue-based color in a first color space so as to generate the highlighted image.
An image processing method in a diagnostic apparatus for diagnosing a lesion using a captured image of an affected area to be diagnosed, the method comprising:
- performing an image conversion processing corresponding to a second state of disease on the captured image to generate a converted image,
- wherein the image conversion processing comprises a region highlighting conversion process corresponding to the second state of disease,
- wherein the region highlighting conversion process comprises:
- performing a first separation process of separating the captured image into a brightness component and a color information component;
- and
- extracting a region to be diagnosed,
- wherein the extracting comprises a first extraction process of extracting a candidate for the region based on the brightness component, and a second extraction process of extracting a likelihood of the region based on a color space composed of the brightness component and the color information component,
- wherein in the region highlighting conversion process, the likelihood of the region is extracted using the color information component corresponding to a direction of a red-based color in a color space.
An image processing method in a diagnostic apparatus for diagnosing a lesion using a captured image of an affected area to be diagnosed, the method comprising:
- performing an image conversion processing corresponding to a third state of disease on the captured image to generate a converted image,
- wherein the image conversion processing comprises a region fluorescent coloring conversion process corresponding to the third state of disease,
- wherein the fluorescent coloring conversion process comprises:
- performing a first separation process of separating the captured image into a brightness component and a color information component;
- and
- extracting a region to be diagnosed,
- wherein the extracting comprises a first extraction process of extracting a candidate for the region based on the brightness component to perform a bottom-hat processing on the candidate for the region extracted, and a second extraction process of extracting a likelihood of the region based on a color space composed of the brightness component and the color information component, and
- wherein in the fluorescent coloring conversion process, the likelihood of the region is extracted using the color information component corresponding to the direction of a green-based color in the color space.
A diagnostic apparatus for diagnosing a lesion using a captured image of an affected area to be diagnosed, the diagnostic apparatus comprising a computer which is configured to:
- (i) classify the captured image based on a stage of a progression of the lesion;
- and
- (ii) perform an image conversion processing, which corresponds to a classification obtained as a result of the classifying, on the captured image to generate a converted image,
- wherein the image conversion processing includes a structure clarifying conversion process which is image conversion processing corresponding to classification of a low stage of the progression,
- wherein the structure clarifying conversion process comprises:
- a first separation process of separating the captured image into a brightness component and a color information component;
- a second separation process of separating the brightness component into a base component and a detail component;
- a highlighting process of performing a highlighting processing on the base component;
- and
- a generation process of restoring a brightness based on a highlighting-processed base component and the detail component, and using the color information component to generate a highlighted image,
- wherein the highlighting process comprises at least one of a first highlighting process of compressing the base component in a manner brighter than a center value and a second highlighting process of performing a sharpness filter processing on the base component, and
- wherein in the generation process, the highlighting-processed base component is added to the detail component to restore the brightness, and a conversion to a second color space is performed based on the brightness restored and the color information component corresponding to a direction of a red-based color and a direction of a blue-based color in a first color space so as to generate the highlighted image.
A diagnostic apparatus for diagnosing a lesion using a captured image of an affected area to be diagnosed, the diagnostic apparatus comprising a computer which is configured to:
- (i) classify the captured image based on a stage of a progression of the lesion;
- and
- (ii) perform an image conversion processing, which corresponds to a classification obtained as a result of the classifying, on the captured image to generate a converted image,
- wherein the image conversion processing comprises a region highlighting conversion process which is image conversion processing corresponding to classification of a middle stage of the progression,
- wherein the region highlighting conversion process comprises:
- a first separating process of separating the captured image into a brightness component and a color information component;
- and
- an extraction process of extracting a region to be diagnosed, wherein the extraction process comprises at least one of a first extraction process of extracting a candidate for the region based on the brightness component, and a second extraction process of extracting a likelihood of the region based on a color space composed of the brightness component and the color information component, and
- wherein in the second extraction process the likelihood of the region is extracted using the color information component corresponding to a direction of a red-based color in a color space.
A diagnostic apparatus for diagnosing a lesion using a captured image of an affected area to be diagnosed, the diagnostic apparatus comprising a computer which is configured to:
- (i) classify the captured image based on a stage of a progression of the lesion;
- and
- (ii) perform an image conversion processing, which corresponds to a classification obtained as a result of the classifying, on the captured image to generate a converted image,
- wherein the image conversion processing comprises a region fluorescent coloring conversion process that is image conversion processing corresponding to classification of a high stage of the progression,
- wherein the region fluorescent coloring conversion process comprises:
- a first separation process of separating the captured image into a brightness component and a color information component;
- and
- an extraction process of extracting a region to be diagnosed,
- wherein the extraction process comprises at least one of a first extraction process of extracting a candidate for the region based on the brightness component to perform a bottom-hat processing on the candidate for the region extracted, and a second extraction process of extracting a likelihood of the region based on a color space composed of the brightness component and the color information component, and
- wherein in the second extraction process, the likelihood of the region is extracted using the color information component corresponding to the direction of a green-based color in the color space.
Dependencies are inferred from the claim text.