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Image processing device and image processing method
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An image processing device and image technology, which is applied in image data processing, image enhancement, image analysis, etc., can solve the problems of increasing the burden on doctors, and achieve the effects of preventing lesion from being overlooked, improving visibility, and improving visibility
Active Publication Date: 2011-09-28
OLYMPUS CORP
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However, when these images are displayed side by side at the same time, doctors always need to pay attention to multiple images while making a diagnosis, which increases the burden on doctors
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no. 1 approach
[0048] First, use image 3 , Figure 4 The method of this embodiment will be described.
[0049] image 3 It is a figure for demonstrating the synthesis|combination of G component. Since the special light image has two components, G2 and B2 (here, it is assumed that the NB1 image is the special light image), the G2 component is extracted. Furthermore, since the normal light image has three components of R, G, and B, the component corresponding to the G2 component, that is, the G component is extracted.
[0050] Then, ratioG is obtained from the ratio of wliAveG and nbiAveG using Equation (3) described later, where wliAveG is the luminance information of the G component of the normal light image, and nbiAveG is the luminance information of the G2 component of the special light image. Using the calculated ratioG, brightness correction of the G2 component of the special light image is performed according to Equation (4) described later, to obtain a corrected special light ima...
no. 2 approach
[0214] First, use Figure 19 , Figure 20 The method of this embodiment will be described.
[0215] Figure 19It is a figure for demonstrating the synthesis|combination of G component. Since the special light image has two components, G2 and B2 (here, it is assumed that the NBI image is the special light image), the G2 component is extracted. Furthermore, since the normal light image has three components of R, G, and B, the component corresponding to the G2 component, that is, the G component is extracted.
[0216] Then, ratioG is obtained from the ratio of wliAveG, which is the luminance information of the G component of the normal light image, to nbiAveG, which is the luminance information of the G2 component of the special light image, using the aforementioned equation (3). Using the obtained ratioG, the brightness correction of the G2 component of the special light image is performed according to the aforementioned formula (4), and the corrected special light image (G ...
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Abstract
The invention provides an image processing device and an image processing method. The invention aims to synthesize a component G and a component B of corrected special light image and normal light image. Compared with the situation that synthesis is conducted after the special light image undergoes a pseudo-color processing, the method of the present invention improves legibility of a subject to be shot like a vessel. The image processing device comprises a normal light image acquisition section that acquires a normal light image that includes an object image and includes information within a wavelength band of white light, a special light image acquisition section that acquires a special light image that includes an object image and includes information within a specific wavelength band, a correction section that performs a correction process on the special light image, and a blending section that performs a blending process that blends the normal light image and a corrected special light image that is the special light image corrected by the correction section. The blending section blends a component G of the normal light image and a component G of the corrected special light image, and blends a component B of the normal light image and a component B of the corrected special light image.
Description
technical field [0001] The present invention relates to an image processing device, an image processing method, and the like. Background technique [0002] In the past, surface sequence endoscope systems have been widely used. This surface sequence endoscopesystem uses rotating filters to sequentially irradiate three colors of light, R1, G1, and B1, to the tissues in the body cavity, and uses the reflection of these lights. The image generated from the light image (ordinary light image) is used for diagnosis. In addition, an endoscopesystem has also been proposed that sequentially irradiates two types of narrow-band lights G2 and B2 having characteristics different from the above-mentioned three colors of light to tissues in a body cavity, and uses reflected light images generated by these narrow-band lights The narrow-band image (referred to as a special light image) for diagnosis (for example, Patent Document 1). [0003] [Patent Document 1] Japanese Unexamined Patent ...
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