A Comparison of Image Segmentation Methods

دسته بندی: سازمان و پردازش داده ها
ویرایش:  
نویسندگان: Blasiak A.  
سری:  
 
ناشر:  
سال نشر:  
تعداد صفحات: 79 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 23 مگابایت 

قیمت کتاب (تومان) : 31,000

نویسنده: Anna Blasiak
پایان نامه ارشد در علوم کامپیوتر، کالج میدلبری
سال: 2007
صفحات: 79
فرمت: PDF

Author: Anna Blasiak
Senior Thesis in Computer Science, Middlebury College
Year: 2007
Pages: 79
Format: PDF Abstract:
The field of computer vision is concerned with extracting information from images. The task of image segmentation is a first step in many computer vision methods and serves to simplify the problem by grouping the pixels in the image in logical ways. Image segmentation is hard to clearly define because there are many levels of detail in image and therefore many possible ways of meaningfully grouping pixels. Additionally, after choosing a definition for an optimal segmentation, there are many computational difficulties in finding such a segmentation. This thesis presents three differenct ways to approach image segmentation, explain an efficient implementation for each approach, and show sample segmentation results