JP2022068282A5

JP2022068282A5 - Image processing device, image processing method, learning device, learning method, and program

Info

Publication number: JP2022068282A5
Application number: JP2022022303A
Authority: JP
Filing date: 2022-02-16
Publication date: 2023-02-13
Anticipated expiration: 2037-07-05

Description

本発明の目的を達成するために、例えば、本発明の画像処理装置は以下の構成を備える。すなわち、
入力画像を取得する取得手段と、
前記入力画像から特徴を抽出する抽出手段と、
前記入力画像から抽出された前記特徴が入力された推定器から、前記入力画像において特定のクラスに属する領域のサイズに対応する情報を出力する出力手段と、を備え、
前記推定器は、学習画像を使用して学習されたパラメータを有する。 In order to achieve the object of the present invention, for example, the image processing apparatus of the present invention has the following configuration. i.e.
an acquisition means for acquiring an input image;
extracting means for extracting features from the input image;
output means for outputting information corresponding to the size of a region belonging to a specific class in the input image from the estimator to which the feature extracted from the input image is input;
The estimator has parameters learned using training images.

Claims

an acquisition means for acquiring an input image;
extracting means for extracting features from the input image;
output means for outputting information corresponding to the size of a region belonging to a specific class in the input image from the estimator to which the feature extracted from the input image is input;
The image processing apparatus, wherein the estimator has parameters learned using learning images.

2. The image processing apparatus according to claim 1, wherein said output means outputs information specifying the ratio estimated by said estimator.

2. The image processing apparatus according to claim 1, further comprising control means for controlling imaging by the imaging means based on the result of estimation by said estimator.

4. The image processing apparatus according to claim 3, wherein said control means controls said imaging by said imaging means with respect to exposure, focus, or white balance based on the result of estimation by said estimator.

3. The ratio estimated by the estimator is a ratio of (1) the number of pixels in the region belonging to the particular class, and (2) the total number of pixels in the input image. The image processing device according to .

2. The image processing apparatus according to claim 1, wherein said estimator estimates a ratio of regions belonging to a sky class, a plant class, or a skin class to said input image.

obtaining an input image;
extracting features from the input image;
outputting information corresponding to the size of regions belonging to a particular class in the input image from the estimator to which the features extracted from the input image are input;
A method of image processing, wherein the estimator has parameters learned using training images.

A program for operating a computer as the image processing apparatus according to any one of claims 1 to 6.

7. The image processing apparatus according to any one of claims 1 to 6, wherein said input image is a divided image obtained by dividing an entire image.

7. The image processing apparatus according to any one of claims 1 to 6, wherein said input image has a plurality of areas belonging to each class.

The estimator has parameters learned based on (a) features extracted from training images and (b) teacher information representing quantities corresponding to sizes of regions belonging to a particular class in the training images. ,
7. The image processing apparatus according to any one of claims 1 to 6, wherein said teacher information represents a numerical value corresponding to a total area size of a plurality of areas belonging to said specific class in said learning image. .

The estimator outputs, as an output for the input image having a plurality of regions belonging to the particular class, a numerical value corresponding to a total region size of the plurality of regions belonging to the particular class in the input image. 7. The image processing apparatus according to any one of claims 1 to 6, wherein the image processing apparatus is learned.

The information corresponding to the size of the region belonging to the specific class in the input image is a ratio of the size of the region belonging to the specific class in the input image to the size of the input image. 7. The image processing apparatus according to any one of claims 1 to 6.

a first acquisition means for acquiring training images for training the estimator;
extracting means for extracting features from the training image;
a second acquisition means for acquiring, as teacher information, information corresponding to the size of a region belonging to a specific class in the learning image;
learning means for learning the estimator using a combination of the features and the teacher information;
A learning device comprising:

obtaining training images for training the estimator;
extracting features from the training images;
a step of acquiring, as teacher information, information corresponding to the size of a region belonging to a specific class in the learning image;
training the estimator using a combination of the features and the teacher information;
A learning method comprising:

an acquisition means for acquiring divided images obtained by dividing an input image;
extraction means for extracting features from the divided images;
output means for outputting information corresponding to the area ratio belonging to a specific class in the divided image from the estimator to which the feature extracted from the divided image is input;
The image processing apparatus, wherein the estimator has parameters learned using learning images.

17. The image processing apparatus according to claim 16, further comprising control means for controlling imaging by the imaging means based on an estimation result by said estimator.

18. The image processing apparatus according to claim 17, wherein said control means controls said imaging by said imaging means with respect to exposure, focus, or white balance based on the result of estimation by said estimator.

an obtaining step of obtaining divided images obtained by dividing an input image;
an extraction step of extracting features from the divided images;
an output step of outputting information corresponding to an area ratio belonging to a specific class in the divided image from the estimator to which the feature extracted from the divided image is input;
A method of image processing, wherein the estimator has parameters learned using training images.

A program for operating a computer as the image processing apparatus according to any one of claims 16 to 18.