Self-adaptive main color extracting method oriented to natural images

Abstract

The invention provides a self-adaptive main color extracting method oriented to natural images and belongs to the field of image main color extraction. The problem is solved that an existing main color extracting method cannot achieve automatic determination of main color number, accordingly colors which do not exist in original images serve as main colors or important color characteristics in theimages are missed, and accurate main color extraction is not facilitated. The self-adaptive main color extracting method comprises the steps that the color spaces of images are converted into Lab spaces; then size compression, image enhancement, denoising and the like are conducted on the images; finally optimal main color sets in natural images are extracted in a self-adaptive mode by organically combining a Silhouette outline coefficient and a traditional K mean value clustering algorithm, a large number of natural images shot in various natural environments are tested, experimental resultsshow that main colors in the natural images can be automatically and effectively extracted out by adopting the algorithm, and the representativeness of color characteristics in original images is better shown.

Description

technical field [0001] The invention belongs to the field of image main color extraction, in particular to an adaptive main color extraction method for natural images. Background technique [0002] As one of the main types of Western painting, oil painting uses quick-drying vegetable oil to blend pigments, and creates on linen, cardboard or wooden boards. With the hiding power and transparency of pigments, it can be gorgeous, elegant, jumping, or Harmonious color expression gives people a strong visual impact. It is precisely because of the particularity of the color language of oil painting that it adds a unique temperament and aesthetic value to the oil painting itself. It can be said that the beauty of oil painting is the beauty of color. This is also the most critical point in the non-realistic oil painting style drawing based on natural images. Only by maximizing the extraction of the most visually impactful color in natural images, that is, the main color, can the com...

AI Technical Summary

Problems solved by technology

[0007] The present invention overcomes the deficiencies in the prior art, and solves the problem that the existing main color extraction method cannot realize the automatic determination of the number of main colors, which will lead to the use of colors that do not exist in the original image as main colors or the omission of important colors in the original image. Color features are not conducive to the accurate extraction of dominant colors. It aims to provide an adaptive dominant color extraction method for natural images. This method organically combines Silhouette contour coefficients with traditional K-means clustering algorithms. Adaptively extract the optimal dominant color set in the natural image, which can effectively extract the dominant color in the natural image automatically, and better present the representativeness of the color features in the original image

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