Image processing device and image processing method
An image processing device and pixel technology, which can be used in image data processing, image enhancement, image analysis, etc., and can solve problems such as loss of image spatial position information and inability to detect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
no. 1 Embodiment approach
[0034] First, the configuration of the image processing device 10 according to the first embodiment will be described. figure 2 It is a schematic block diagram illustrating the main configuration of the image processing device 10 according to the first embodiment. Such as figure 2 As shown, the image processing device 10 of the first embodiment includes a computing unit 20 and a recording unit 30 . The image processing device 10 is incorporated into, for example, the above-mentioned endoscope, receives an intraluminal image captured by the endoscope, processes the intraluminal image, and outputs a detected abnormality detection result.
[0035] The calculation unit 20 can be realized by hardware such as a CPU, and performs various calculation processes for detecting an abnormal part from an intraluminal image. The calculation unit 20 includes an approximate value calculation unit 21 , a validity evaluation unit 22 , a region division unit 23 , a target region resetting uni...
no. 2 Embodiment approach
[0083] First, the configuration of the image processing device according to the second embodiment will be described. In the second embodiment, as an intraluminal image to be processed, a color image including pixel values for each of the R, G, and B wavelength components in each pixel is assumed. Among them, the R component is a wavelength component far from the absorption band of blood, and is a long-wavelength component, so it is not easily affected by the light absorption and light scattering of the illumination light by the living body, and it is the most suitable for the structure of the living tissue as the imaging target. corresponding pixel value. On the other hand, the G component and the B component are easily affected by the light absorption of the illumination light by the blood in abnormal parts such as bleeding parts. Therefore, in the second embodiment, a specific wavelength component determined according to the degree of absorption or scattering in a living ...
no. 3 Embodiment approach
[0116] First, the configuration of the image processing device of the third embodiment will be described. Figure 15 It is a schematic block diagram illustrating the main configuration of the image processing device 10b of the third embodiment. In addition, the same reference numerals are assigned to the same configurations as those described in the first embodiment. Such as Figure 15 As shown, the image processing device 10b of the third embodiment includes a computing unit 20b and a recording unit 30b. The image processing device 10b is incorporated into an endoscope, for example, in the same manner as the first embodiment, receives an intraluminal image captured by the endoscope, processes the intraluminal image, and outputs a detected abnormal portion detection result. .
[0117] The calculation unit 20b includes an approximate value calculation unit 21 , a validity evaluation unit 22b , a region division unit 23 , a region integration unit 27b , a target region resett...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 