基于ARM的hough圆优化的苹果识别算法

Hough Circle Optimization of Apple Recognition Algorithm Based on ARM

以三星EXYNOS4412为主控芯片,通过ARM驱动USB摄像头,调用Linux下的V4L2编程接口动态采集图像;结合采集到图像数据的特性和苹果的颜色特征,在YCrCb色彩空间下,提取Cr通道数据;通过动态阈值分割算法进行图像阈值分割结合优化的hough圆变换算法,实时识别出采集到的图像中的苹果。

This paper implements an apple image acquisition and recognition system by using Samsung EXYNOS4412 as the main controlling chip.The USB camera is driven by ARM.The V4 L2 programming interface under Linux is used to dynamically acquire images.In combination with the characteristics of image data and the apple color characteristics,the Cr channel data is extracted in the YCrCb color space.The dynamic threshold segmentation algorithm performs image threshold segmentation combined with the optimized hough circle transform algorithm to identify the apple in the acquired image in real time.