CellDetectorByBlocks
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Inheritance: java.lang.Object
All Implemented Interfaces: com.aspose.barcode.barcoderecognition.recognition.datamatrix.oldalgorithm.treealgorithm.IAlgorithm
public class CellDetectorByBlocks implements IAlgorithm
This class detects cells of a datamatrix with big dimension (>=32), using all the time patterns of matrix blocks
Constructors
| Constructor | Description |
|---|---|
| CellDetectorByBlocks() |
Methods
| Method | Description |
|---|---|
| correctImbalanceDistance(int minThreshold, int maxThreshold, int shift, Int32List[] itemList) | Search items with imbalance distance. |
| detectSmallWithBlur(ByteBitmap byteBitmap, RectangleVertexes vertexes, int dimensionX, int dimensionY, int separatrix, boolean simpleMethod) | Detects small matrix with blur, all the time patterns of matrix blocks. |
| equals(Object arg0) | |
| execute(ModelHolder modelHolder) | Executes the algorithm of CellDetectorByBlocks |
| getClass() | |
| hashCode() | |
| notify() | |
| notifyAll() | |
| toString() | |
| wait() | |
| wait(long arg0) | |
| wait(long arg0, int arg1) |
CellDetectorByBlocks()
public CellDetectorByBlocks()
correctImbalanceDistance(int minThreshold, int maxThreshold, int shift, Int32List[] itemList)
public static void correctImbalanceDistance(int minThreshold, int maxThreshold, int shift, Int32List[] itemList)
Search items with imbalance distance. This distance is corrected.
Parameters:
| Parameter | Type | Description |
|---|---|---|
| minThreshold | int | an available minimum distance |
| maxThreshold | int | an available maximum distance |
| shift | int | correction value |
| itemList | Int32List[] | list of items |
detectSmallWithBlur(ByteBitmap byteBitmap, RectangleVertexes vertexes, int dimensionX, int dimensionY, int separatrix, boolean simpleMethod)
public static SpikedBits detectSmallWithBlur(ByteBitmap byteBitmap, RectangleVertexes vertexes, int dimensionX, int dimensionY, int separatrix, boolean simpleMethod)
Detects small matrix with blur, all the time patterns of matrix blocks. Only for square matrixes and dimension >=32
Parameters:
| Parameter | Type | Description |
|---|---|---|
| byteBitmap | ByteBitmap | A bytebitmap |
| vertexes | RectangleVertexes | Vertexes of a matrix |
| dimensionX | int | Dimension x |
| dimensionY | int | Dimension y |
| separatrix | int | Separatrix |
| simpleMethod | boolean | True - detect color by 1 point for each cell. False - by 4 points |
Returns: SpikedBits - Spiked bits
equals(Object arg0)
public boolean equals(Object arg0)
Parameters:
| Parameter | Type | Description |
|---|---|---|
| arg0 | java.lang.Object |
Returns: boolean
execute(ModelHolder modelHolder)
public final boolean execute(ModelHolder modelHolder)
Executes the algorithm of CellDetectorByBlocks
Parameters:
| Parameter | Type | Description |
|---|---|---|
| modelHolder | ModelHolder | model holder |
Returns: boolean -
getClass()
public final native Class<?> getClass()
Returns: java.lang.Class
hashCode()
public native int hashCode()
Returns: int
notify()
public final native void notify()
notifyAll()
public final native void notifyAll()
toString()
public String toString()
Returns: java.lang.String
wait()
public final void wait()
wait(long arg0)
public final native void wait(long arg0)
Parameters:
| Parameter | Type | Description |
|---|---|---|
| arg0 | long |
wait(long arg0, int arg1)
public final void wait(long arg0, int arg1)
Parameters:
| Parameter | Type | Description |
|---|---|---|
| arg0 | long | |
| arg1 | int |