Chap 3 : Binary Image Analysis. Counting Foreground Objects

Chap 3 : Binary Image Chap 3 : Binary Image AnalysisAnalysis

Counting Foreground Counting Foreground ObjectsObjects

ExampleExample

Counting Object AlgorithmCounting Object Algorithm

Counting Background Counting Background ObjectsObjects

Connected Component Connected Component LabelingLabeling

1. 1. Recursive Connected Recursive Connected Components AlgorithmComponents Algorithm

ExamplExamplee

2. 2. Classical Connected Classical Connected Components AlgorithmComponents Algorithm

Size FilterSize Filter

• To remove small size noise After connected component labeling, all components below T in size are removed by changing the corresponding pixels to 0.

Pepper & Salt Noise Pepper & Salt Noise ReductionReduction

• Change a pixel from 0 to 1 if all neighborhood pixels of the pixel is 1

• Change a pixel from 1 to 0 if all neighborhood pixels of the pixel is 0

Expanding & ShrinkingExpanding & Shrinking

Example 1Example 1

Example 2Example 2

MorphologicMorphological Filteral Filter

ExamplExamplee

Example Example

Closing & OpeningClosing & Opening

Opening ExampleOpening Example

MorphologicMorphological Filter al Filter Example 1Example 1

Structure Element Structure Element Example 1Example 1

MorphMorpho-o-logical logical Filter Filter ExamplExample 2e 2

Structure Element Structure Element Example 2Example 2

Conditional DilationConditional Dilation

Conditional Conditional Dilation Dilation ExampleExample

Area & CentroidArea & Centroid

PerimeterPerimeter

CircularityCircularity

Second Moment Second Moment

OrientationOrientation

Bounding BoxBounding Box

ThresholdingThresholding

P-Tile MethodP-Tile Method

Mode MethodMode Method

Mode AlgorithmMode Algorithm

Iterative MethodIterative Method

221

T

Adaptive MethodAdaptive Method

Adaptive Method ExampleAdaptive Method Example

Variable Thresholding Variable Thresholding ExampleExample

Double Thresholding Double Thresholding MethodMethod

Double Double Thresholding Thresholding ExampleExample

RecursivRecursive e HistograHistogram m ClusterinClusteringg