Title : 
Application of a new improved image segmentation algorithm in car plate recognition
         
        
            Author : 
Xiaoping Li ; Jinghui Chen ; Yinxiang Li ; Xiaoxing Lv
         
        
            Author_Institution : 
Dept. of Comput. Sci. & Technol., Beijing Inst. of Technol., Beijing, China
         
        
        
        
        
        
            Abstract : 
Image segmentation is an important image analysis technique, the segmentation result of which is critical to determine the performance of high-level modules in image processing system. After a brief introduction LLT image segmentation algorithm, focusing on analysis of the inadequacies of LLT algorithm, propose an improved ILLT image segmentation algorithm. Experiments show that the algorithm improves the efficiency of the image region segmentation.
         
        
            Keywords : 
image recognition; image segmentation; traffic engineering computing; LLT algorithm; car plate recognition; image analysis technique; image processing system; image segmentation; Algorithm design and analysis; Application software; Character recognition; Data mining; Image analysis; Image processing; Image recognition; Image segmentation; Licenses; Lighting; image processing image segmentation wavelet transform car plate recognition;
         
        
        
        
            Conference_Titel : 
New Trends in Information Science and Service Science (NISS), 2010 4th International Conference on
         
        
            Conference_Location : 
Gyeongju
         
        
            Print_ISBN : 
978-1-4244-6982-6
         
        
            Electronic_ISBN : 
978-89-88678-17-6