A white balance proofreading method based on white objects

Abstract

The invention discloses a white balance proofreading method based on a white object, which comprises the following steps: a white object contrast model is established by using a large number of acquired white object samples through continuous training and learning; The white object contrast model is applied to the scene capture, and the pixel mean value and color gain value are calculated by identifying the image and extracting the white object region in the image, so as to adjust the color to realize the white balance proofreading of the image; The invention has the advantages of simple realization principle, low resource cost, fast operation time, ideal and accurate white balance effect. The paper towel identification technology adopted by the invention is based on convolution neural network algorithm, learning from the large sample data, extracting the high-level features of the image gradually, classifying the features and completing the recognition can deal with the offset, scalechange and deformation of the paper towel to a certain extent, ensure the strong separability of the features, have an ideal recognition effect on the feature classification, reduce the dependence ofthe recognition on external conditions, and reduce the complexity of the model.

Description

technical field [0001] The invention relates to the field of image color processing, in particular to a white balance correction method based on a white object. Background technique [0002] Traditional Chinese medicine includes the four inspections of looking, smelling, asking, and feeling, and tongue diagnosis is the key content of inspection. In the theory of traditional Chinese medicine, no matter how complicated the pathological symptoms of the internal organs of the human body are, the nature of the disease, the depth of the disease, and the state of qi and blood can be judged intuitively and quickly by observing the tongue image. It is a simple and effective medical treatment. Auxiliary diagnosis and differential methods. In traditional inspection, doctors generally observe the shape and color of the patient's tongue with the naked eye, and then diagnose the disease based on medical experience. Due to the large population and serious aging problem in our country, th...

AI Technical Summary

Problems solved by technology

Since the collected images rely on terminal shooting equipment, such as mobile phone cameras, this equipment does not have the adaptability of human eyes, and when shooting under different light conditions, color reproduction distortion occurs due to the imbalance of CCD output; therefore, the above tongue diagnosis There are often chromatic aberration problems in the collected images of products, which leads to deviations in medical diagnosis, and it is impossible to achieve targeted treatment and prevention of patients' diseases

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