Color Image Segmentation Algorithm Based on Region Growth

作者：Wei Fan · 发表于：Jisuanji gongcheng · 年份：2010 · 被引用次数：6 · 研究领域：Advanced Measurement and Detection Methods、Remote Sensing and Land Use

Color image with complicated texture is insufficiently dealt with a traditional seed region growth method.Aiming at this problem,an improved seeded region growth method to segment color image is presented.The research is based on YCbCr model.The texture features are obtained by discrete cosine transform.The seeds and seeded region are produced automatically.The region-merging is used to improve the image segmentation result.Experimental results show the algorithm can effectively improve segmentation accuracy for different image natures.