【摘要】 基于机器视觉的印版质量检测角度,提出了一种基于颜色分割的印版图像网点面积率测量方法。首先,通过图像采集设备获取印版网点的显微图像,对采集的印版网点显微图像进行颜色空间转换,利用饱和度信息对变换后的图像进行粗分割;而后依据图像颜色色相信息对其进行精确分割,经过形态学去噪处理后,对分割后的印版显微图像进行像素统计,并计算网点面积率。实验结果表明,基于颜色分割的网点面积率测量方法的测量精度较高,版材适用性较好。更多还原

【Abstract】 Considering the plate quality detection method in accordance with machine vision, an innovative dot area coverage percentage measurement method for plate microscopic image based on color segmentation was proposed. Plate microscopic image was acquired firstly by using image capture device, then the plate microscopic image was transformed from RGB to HSI space. The plate microscopic image was segmented from coarse to fine according to the saturation and the hue information. After morphological denoising, the dot area coverage percentage was calculated by the pixel statistical method. The experiment showed the dot area coverage percentage measurement method based on color segmentation was of high measurement precision and good plate applicability.更多还原