Camera color automatic optimization method and device based on fruit recognition algorithm

Abstract

The invention relates to an automatic camera color optimization method and device based on a fruit recognition algorithm, and the method comprises the steps: reading a training image, carrying out the image processing and image feature extraction, and obtaining training feature data; by taking the training feature data as an input variable and the fruit name as an output variable, constructing a fruit recognition model and performing training; reading a target image and carrying out image processing and image feature extraction to obtain target feature data; inputting the target feature data into the trained fruit recognition model for recognition; and performing warm tone and saturation enhancement processing on the target image according to an identification result. According to the method, the trained fruit identification model is utilized to identify the feature data corresponding to the target image, the fruit name can be accurately identified, the image processing process and the identification process in the identification method are mutually independent, then warm tone and saturation enhancement processing is performed on the target image according to the identification result, so that the color of the target image is stronger and brighter, and appetite is increased.

Description

technical field [0001] The invention relates to image recognition processing, in particular to a camera color automatic optimization method and device based on a fruit recognition algorithm. Background technique [0002] How to perform image recognition accurately and quickly has always been an important topic of research by scholars from all over the world. The recognition of fruit images plays an important role in the fields of smart industry and digital medicine. In terms of smart agriculture, through the identification of fruits, the precise cultivation of fruit trees in compound orchards and the automatic picking of fruits can be realized; in the field of digital medical care, fruit identification is mainly used to assist in the analysis of the nutritional components of fruits in the later stage. How to quickly and accurately identify fruits is the key to these tasks. Algorithms for fruit recognition in the prior art include SURF algorithm, HALCON algorithm, etc., whi...

AI Technical Summary

Problems solved by technology

Algorithms for fruit recognition in the prior art include SURF algorithm, HALCON algorithm, etc., which can effectively identify and classify most fruits. However, the relationship between the image recognition process and the image processing process of these fruit recognition algorithms is very close. Interlaced, it is difficult to separate them completely, and with the influence of light and complex background, it is more difficult to distinguish fruits with very similar characteristics

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