Unlock instant, AI-driven research and patent intelligence for your innovation.

Image processing device and image processing method

An image processing device, image technology, applied in image data processing, image analysis, image enhancement, etc.

Active Publication Date: 2016-08-03
OLYMPUS CORP
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, when detecting unnecessary areas using only color information, areas similar in color and debris, such as white lesions, may be removed as unnecessary areas even though they are mucous membrane areas.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image processing device and image processing method
  • Image processing device and image processing method
  • Image processing device and image processing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach 1

[0035] figure 1 It is a block diagram showing the configuration of the image processing apparatus according to Embodiment 1 of the present invention. like figure 1 As shown, the image processing apparatus 1 includes a control unit 10 , an image acquisition unit 11 , an input unit 12 , a display unit 13 , a recording unit 14 , and an arithmetic unit 15 that control the overall operation of the image processing apparatus 1 .

[0036] The image acquisition unit 11 acquires image data of the intraluminal image captured by the medical observation apparatus. The image acquisition unit 11 is appropriately configured as a system including a medical observation apparatus. For example, when the medical observation apparatus is a capsule endoscope and a removable recording medium is used for the reception and transmission of image data between the medical observation apparatus and the medical observation apparatus, the image acquisition unit 11 is detachably mounted on the recording me...

Deformed example 1-1

[0065] As the detection method of the structure edge, various known methods may be employed in addition to the above-described detection method based on the differential intensities of the first color component and the second color component. For example, the structure edge can also be detected using the differential intensity of at least one color component. Specifically, it is sufficient to use the color component (the R component in R, G, and B) that is farthest from the absorption band in the lumen. This is because the R component has the longest wavelength among the three color components, and the light absorption component absorbed by blood (hemoglobin) is small, so that information that best reflects the surface structure of the living tissue can be obtained. In this case, the R component of each pixel is obtained by a known edge extraction technique such as first-order differential processing using a Sobel filter or the like, or secondary differential processing using ...

Deformed example 1-2

[0067] As a calculation method for approximately constructing the edge line, various known methods can be used in addition to the above-described method based on function approximation. As an example, as Figure 6A As shown, a method of calculating an approximate structure edge line from the structure edge pixels 111 constituting the marked structure edge 110 will be described. First, the function approximation unit 182 applies a Sobel filter in the x-direction and the y-direction to each of the structural edge pixels 111 , and obtains the gradient direction of each of the structural edge pixels 111 . Next, the function approximation unit 182 performs the Figure 6B As shown, a vector (orthogonal vector) 112 orthogonal to the gradient direction of each of the structural edge pixels 111 is calculated. Then, the function approximation unit 182 calculates the average value (average orthogonal vector) of these orthogonal vectors 112 and the barycenter positions 113 of all the st...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides an image processing device and an image processing method. The image processing device is used to discriminate the mucous membrane area and the non-mucosal membrane area included in the intraluminal image, and the image processing device has: a residue candidate area detection unit that detects whether the candidate residue area is A residue candidate region to be determined as a mucosal region; a structure edge region detecting unit that detects a structure edge included in an intraluminal image; Positional relationship, to determine whether the residue candidate area is a mucous membrane area.

Description

technical field [0001] The present invention relates to an image processing device and an image processing method for processing intraluminal images obtained by photographing the lumen. Background technique [0002] Conventionally, endoscopes have been widely used as medical observation apparatuses that are introduced into the body of a subject such as a patient and observe the lumen in a non-invasive manner. In recent years, a swallowable endoscope (capsule endoscope) has been developed that accommodates an imaging device, a communication device, and the like in a capsule-type housing, and wirelessly transmits image data captured by the imaging device to the outside of the body. The series of images (intraluminal images) captured by such a medical observation apparatus increases to a huge number (tens of thousands or more), and observation and diagnosis of each intraluminal image requires a lot of experience. Therefore, a medical diagnosis support function that assists a d...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): A61B1/04G06T7/00
CPCG06T2207/10068G06T2207/30028G06T2207/30092G06T7/11G06T7/12
Inventor 弘田昌士神田大和北村诚河野隆志
Owner OLYMPUS CORP