Abstract: An information processing device: acquires a feature quantity indicating a feature of a measurement target measured by a sensor; predicts a state of the measurement target by inputting the feature quantity into a machine learning model; acquires a plurality of design parameter modification methods to improve state prediction accuracy of the machine learning model and modify a design parameter of the sensor; determines an optimum design parameter modification method from among the plurality of design parameter modification methods based on the feature quantity and a prediction result of the state; and outputs the optimum design parameter modification method determined.

Abstract: An image processing method of the present disclosure is an image processing method for extracting, as a detection bright spot, a bright spot indicating an object in an observation image. In this image processing method, a bright spot region including the bright spot is defined defining, with respect to the bright spot. A reference pixel is defined in an area surrounding the bright spot region. It is determined whether or not the bright spot region is included in a region of interest by evaluating a luminance value of the reference pixel. The bright spot included in the bright spot region is extracted as the detection bright spot in a case where it is determined that the bright spot region is included in the region of interest.

Abstract: An observation image containing a target bright spot is divided into an object region and a non-object region. A first image is obtained by replacing a brightness value of the non-object region with a predetermined brightness value. A second image is obtained by subjecting the first image to bright spot enhancement processing. The target bright spot is extracted from the second image. This image processing method can extract the target bright spot in the observation accurately.