Image Segmentation Algorithm for Ultra-Fast Region Growth Based on Data Compression
This paper introduces an ultra-fast region growing image segmentation algorithm based on data compression,which aims to significantly improve the efficiency and accuracy of image segmentation.The traditional region growing algorithm is usually limited by computational complexity and time in processing large-scale images.To solve this problem,the data compression strategy is introduced to achieve faster regional growth by reducing the data dimension.Firstly,the advanced data compression algorithm is used to process the image data,which can effectively reduce the data volume while maintaining the image quality,and provide an efficient data basis for the subsequent region growth.Then,a fast and accurate integrated region growing algorithm is designed,which considers the image features and neighborhood relationship,and realizes the rapid and accurate recognition of the target region.Experiments show that this method can improve the processing speed and maintain the segmentation accuracy,especially in large-scale image processing.The ultra-fast region growing method based on data compression has a wide application potential.Especially in the field of semiconductor detection,it provides an efficient and feasible solution for image analysis and processing,and provides valuable insights and methods for the further development of image segmentation technology.
data compressionmulti-threadingregion growthimage segmentation
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