Image processing device

Abstract

A color image configured by a plurality of pixels is displayed on an image display region, and an arbitrary region of the image displayed in the image display region is specified using a mouse and the like. A two-dimensional specific color map based on hue parameter and chroma parameter and a one-dimensional specific color map based on value parameter are displayed in a specific color map region. The color parameters of each pixel included in the specified region are acquired, and the corresponding position of each pixel included in the specified region is displayed in the specific color map based on the acquired color parameters. The specific range of the specific color is set by adjusting the range of hue, chroma, and value parameters in the specific color map, and the image having the color included in the specific range is extraction-processed according to an instruction.

Description

technical field [0001] The present invention relates to an image processing device for determining and extracting an area with a preset color from an acquired image. Background technique [0002] From the viewpoint of labor saving and high efficiency, automation is advancing in production workshops. In order to realize automation, many sensors using light, electricity, radio waves, sound waves, etc. are used. Commonly used among these sensors is an image sensor, which can judge whether the product is qualified or determine the ID of the product by photographing the product and processing the photographed image. [0003] If an image sensor is used, it can realize the same detection function as the detection by human naked eyes, so its application range is wide. [0004] Many image sensors are composed of a photographing unit and an image processing unit (or also called an enlargement unit), wherein the photographing unit photographs the detection object, and the image proce...

AI Technical Summary

Problems solved by technology

Conversely speaking, if the optimal color parameter range is not set according to the dispersion of the color parameters of the entire image, it is impossible to determine the practical area

[0011] However, in conventional image processing devices, even if the color parameters at a specific point (pixel) can be obtained, it is impossible to obtain the optimal color parameter range according to the degree of dispersion of the color parameters of the entire image obtained.

Therefore, it is necessary to determine the specified color by trial and error according to various occurrence conditions such as illumination and reflectance. Therefore, in many cases, it is impossible to make the image processing device perform satisfactorily without relying on the intuition or experience of the skilled person.

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