Aiming at the problem that the traditional color perception and recognition method for Guangdong embroidery image has poor color stereo restoring ability, a color perception, and recognition method for Guangdong embroidery image based on discrete mathematical model is proposed. Through histogram equalization, the input image with centralized gray distribution is transformed into the output image with approximate uniform distribution to enhance the dynamic range of the gray value of the pixels; the median filtering method is used to smooth the Guangdong embroidery image and remove the noise in the Guangdong embroidery image. The RGB spatial model and HSI spatial model of image color are constructed by normalizing the coordinates and color attributes of pixels. Using these two models to transform RGB color space and HSI color space, image color perception, and recognition model is established to realize color perception and recognition of Guangdong embroidery image. In order to verify the color stereo restoring ability of the method, the method is compared with the traditional method for color perception and recognition of Guangdong embroidery image, which proves that the color stereo restoring ability of the method is better than that of the traditional method.

针对广东刺绣图像的传统色彩感知和识别方法色彩立体还原能力差的问题，提出了一种基于离散数学模型的广东刺绣图像的色彩感知和识别方法。通过直方图均衡，将具有集中灰度分布的输入图像转换为具有近似均匀分布的输出图像，以增强像素灰度值的动态范围；采用中值滤波法对广东绣花图像进行平滑处理，消除了广东绣花图像中的噪点。图像色彩的RGB空间模型和HSI空间模型是通过归一化像素的坐标和颜色属性来构造的。使用这两个模型来转换RGB颜色空间和HSI颜色空间，建立图像色彩感知和识别模型，以实现广东刺绣图像的色彩感知和识别。为了验证该方法的色彩立体还原能力，将该方法与传统的广东绣花图像色彩感知和识别方法进行了比较，证明了该方法的色彩立体还原能力优于传统方法。 。