Image analysis method based on machine learning algorithm

Abstract

The invention provides an image analysis method based on a machine learning algorithm. Main contents comprise attribute learning, scale-based attribute metering and consistent visualization in a cluster mode. Attribute characteristics of an object of an image are provided according to depth learning of a data set carried out by a classifier. A monitoring learning method is utilized, picture notes are learned by a training machine, an object attribute classifier is established, test performance standards are improved to a maximum degree, machine classification is carried out, operation to a bigger database is further carried out, and the classifier is made to be an effective tool for picture analysis. The method is advantaged in that two novel vision algorithms are utilized, relevant attribute clusters are detected through image clustering, according to the identified attributed clusters, pictures and object clusters are further identified, the object attributes are provided according to machine learning, and the method further contributes to new design in the industrial field and innovation solution schemes in the engineering field.

Description

Technical field [0001] The invention relates to the field of image analysis, in particular to a method for image analysis based on a machine learning algorithm. Background technique [0002] Image analysis is often used in the fields of industry, inspection, remote sensing, military, etc. Generally, mathematical models are combined with image processing technology to analyze the underlying features and the upper structure to extract information with a certain degree of intelligence. Specifically, in the industrial field, it is mostly used in industrial automation, such as robot grasping objects, automatically manipulating wire welders and cutting tools, monitoring and screening large amounts of data from oil well sites or seismic data, and providing visual feedback for automatic assembly and repair . In the field of inspection, image analysis can check sharp corners, short circuits and poor connections on printed circuit boards, inspect impurities and cracks in castings, screen ...

AI Technical Summary

Problems solved by technology

Although the research on image analysis has achieved many results and has been applied to specific objects in many fields, the unsupervised clustering method still has certain limitations in particle size recognition.

Images