水平集方法与图像分割 Level set method and image segmentation

● LLECTURE4 Level set method and image segmentation

LECTURE 4 Level set method and image segmentation

OVERVIEW o What is image segmentation? Separation of image domain based on contents o General image segmentation:

OVERVIEW  What is image segmentation? Separation of image domain based on contents.  General image segmentation:

OVERVIEW o What is image segmentation? Separation of image domain based on contents o Object recognition(computer vision) 国受

OVERVIEW  What is image segmentation? Separation of image domain based on contents.  Object recognition (computer vision)

OVERVIEW o What is image segmentation? Separation of image domain based on contents o Object recognition(computer vision) ● VAXTOR SYSTEMS 9119-HHS 103 Km/h 9038-GXH 116 Km/h 366. GFH 3664-6FH 8205HEZ82064Fz 16/07/201307:16:40 L2s3H2649R5 VAXTOR SYSTEMS 9119 HHS 9038GXH90386XH 16/07/201307:16:40 9119-HHS 8206HF2

OVERVIEW  What is image segmentation? Separation of image domain based on contents.  Object recognition (computer vision)

OVERVIEW o What is image segmentation? Separation of image domain based on contents o Medical image segmentation

OVERVIEW  What is image segmentation? Separation of image domain based on contents.  Medical image segmentation

OVERVIEW o What is image segmentation? Separation of image domain based on contents o Medical image segmentation

OVERVIEW  What is image segmentation? Separation of image domain based on contents.  Medical image segmentation

OVERVIEW o What is image segmentation? Separation of image domain based on contents o Medical image segmentation Computer-aided diagnosis

OVERVIEW  What is image segmentation? Separation of image domain based on contents.  Medical image segmentation Computer-aided diagnosis

OVERVIEW o What is image segmentation? Separation of image domain based on contents o lmage segmentation in biology

OVERVIEW  What is image segmentation? Separation of image domain based on contents.  Image segmentation in biology

OVERVIEW o What is important for image segmentation? Edges which can be extracted by differentiation (lower level segmentation) Content classification(higher level segmentation) o Main approaches Energy method mumford-Shah) Curve evolution(snake, level set method) W △ slgn(△u

OVERVIEW  What is important for image segmentation? o Edges which can be extracted by differentiation (lower level segmentation) o Content classification (higher level segmentation)  Main approaches: o Energy method (Mumford-Shah) o Curve evolution (snake, level set method)

ENERGY METHOD Mumford-Shah(MS) Model

ENERGY METHOD Mumford-Shah (MS) Model