针对复杂背景的车牌定位问题,提出了一种颜色和纹理分析相结合的车牌定位算法。
This paper presents an effective license plate location algorithm, which employs color and texture analysis to extract the number plate from the complicated background image.
分析计算了磨粒的形貌,纹理和颜色等几类特征参数,形成一套较为完备的磨粒特征描述体系。
By analyzing and calculating the shape, color and texture characteristic parameters of wear particles, a complete set of wear particle quantification characterization comes into being.
计算机分析数据,并提取出如物体的,边、区域、边界、颜色和纹理等信息。
The computer analyzes the data and extracts such image information as edges, regions, boundaries, colors and textures of the objects in the image.
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