电子科发女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC Chapter10 lmage segmentation Ping Zhang
Ping Zhang
电子科线女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC Introduction ■Definition Segmentation subdivides an image into its constituent regions or objects. Person1 Person2
Introduction ◼ Definition Segmentation subdivides an image into its constituent regions or objects
电子科发女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC 腔教林 8
电子科线女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC Introduction ■Two properties ofimage intensii访 Discontinuity-to partition an image based on abrupt changes in intensity. Point Line /Edge Corner detection Similarity -partition an image into regions that are similar according to a set of predefined criteria. 。Thresholding Region growing /Splitting /Merging
◼ Two properties of image intensity Introduction ◼ Discontinuity — to partition an image based on abrupt changes in intensity. ⚫ Point / Line / Edge / Corner detection ◼ Similarity — partition an image into regions that are similar according to a set of predefined criteria. ⚫ Thresholding ⚫ Region growing / Splitting / Merging
电子科线女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC Introduction Edge and region Original image Edge Region
Original image Edge Region ◼ Edge and region Introduction
电子科发女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC Introduction Image analysis system Representation Segmentation & Description Mid level Preprocessing Knowledge Recognition Prob. and Base Res. Interpretation Acquisition Low level High level
Knowledge Base ◼ Image analysis system Representation & Description Segmentation Low level High level Mid level Recognition and Interpretation Res. Acquisition Prob. Preprocessing Introduction
电子科线女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC Outline ◆Fundamentals Point,Line,and Edge Detection ◆Thresholding Region-Based Segmentation ◆ Segmentation Using Morphological Watersheds The Use of Motion in Segmentation
Outline ◆ Fundamentals ◆ Point, Line, and Edge Detection ◆ Thresholding ◆ Region-Based Segmentation ◆ Segmentation Using Morphological Watersheds ◆ The Use of Motion in Segmentation
电子科枝女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC 10,1 Fundamentals Basic rules View image segmentation as a process that Partition the entire image region R into n subregions,RR2..,R such that (a)UR,=R; i=1 (b)R,is a connected region,i=1,2,...,n. (c)R,nR=☑，for all i and j,i, (d)There exists a logical predicate P(R)such that P(R,)=TRUE for i=1,2,...,n,and P(RUR)=FALSE for i计j
View image segmentation as a process that Partition the entire image region R into n subregions, R1 , R2 ,…, R n , such that (a) ; (b) Ri is a connected region, i=1,2,…,n. (c) Ri∩Rj = , for all i and j, i≠j. (d) There exists a logical predicate P(Ri ) such that P(Ri ) = TRUE for i=1,2,…,n, and P(Ri∪Rj ) = FALSE for i≠ j. 1 n i i R R = ∪ = ◼ Basic rules 10.1 Fundamentals
电子科发女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC 10.1 Fundamentals a b c de f FIGURE 10.1 (a)Image containing a region of constant intensity.(b)Image showing the boundary of the inner region,obtained from intensity discontinuities.(c)Result of segmenting the image into two regions.(d)Image containing a textured region. (e)Result of edge computations.Note the large number of small edges that are connected to the original boundary,making it difficult to find a unique boundary using only edge information.(f)Result of segmentation based on region properties
10.1 Fundamentals
电子科线女学光电科学与工程学院 SCHOOL OF OPTOELECTRONIC SCIENCE AND ENGINEERING OF UESTC Outline ◆Fundamentals Point,Line,and Edge Detection ◆Thresholding Region-Based Segmentation ◆ Segmentation Using Morphological Watersheds The Use of Motion in Segmentation
Outline ◆ Fundamentals ◆ Point, Line, and Edge Detection ◆ Thresholding ◆ Region-Based Segmentation ◆ Segmentation Using Morphological Watersheds ◆ The Use of Motion in Segmentation
