EdgeHistogramImplementation (LIRE API)

java.lang.Object
- net.semanticmetadata.lire.imageanalysis.features.global.mpeg7.EdgeHistogramImplementation

直接已知子类:

EdgeHistogram
```
public class EdgeHistogramImplementation
extends java.lang.Object
```
This class implements the EdgeHistogram descriptor from the MPEG-7 standard.
This file is part of the Caliph and Emir project: http://www.SemanticMetadata.net
Date: 31.01.2006
Time: 23:07:39

作者:

Mathias Lux, mathias@juggle.at

字段概要

字段
限定符和类型字段和说明

static int BIN_COUNT

protected int[] edgeHistogram
The actual edge histogram.

字段
限定符和类型	字段和说明
`static int`	`BIN_COUNT`
`protected int[]`	`edgeHistogram` The actual edge histogram.

构造器概要

构造器
构造器和说明
`EdgeHistogramImplementation()` Allocates a new `EdgeHistogramDescriptor`
`EdgeHistogramImplementation(java.awt.image.BufferedImage image)` Allocates a new `EdgeHistogramDescriptor` so that it represents the media located in the file.

方法概要

所有方法静态方法实例方法具体方法
限定符和类型	方法和说明
`static double`	`calculateDistance(int[] edgeHistogramA, int[] edgeHistogramB)` Calculates the distance between two images taking the edge edgeHistogram into account. take 480 as soft upper border, 0 is hard lower border because there are 80 bins <= 7.
`void`	`extract(java.awt.image.BufferedImage image)`
`void`	`extractFeature()` `extractFeature()` takes all the information about the types of edge, that have been found in the sub-images and applies the methods getFirstBlockAVG(int i,int j) through getFourthBlockAVG(int i, int j) on the whole image. returns Local_Edge_Histogram returns the 80 bins
`int`	`getBinCounts()` Gets the Bins of the array.
`double`	`getDistance(LireFeature descriptor)` Compares one descriptor to another.
`int`	`getThreshold()`
`void`	`makeGreyLevel()` The width and height of the media is taken to convert the RGB values into luminance values.
`void`	`setBinCounts(int pos, int[] value)` Responsible for setting the Bin Counts in view of the position of the bins.
`int[]`	`setEdgeHistogram()` In the `setEdgeHistogram()` method the value for each edgeHistogram bin are quantized by quantization tables.
`void`	`setThreshold()` If the maximum of the five edge strengths is greater than a threshold, then the image block is considered to have the corresponding edge in it.

从类继承的方法 java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- 字段详细资料
  - BIN_COUNT
```
public static final int BIN_COUNT
```
    另请参阅:
    
    常量字段值
  - edgeHistogram
```
protected int[] edgeHistogram
```
    The actual edge histogram.
- 构造器详细资料
  - EdgeHistogramImplementation
```
public EdgeHistogramImplementation(java.awt.image.BufferedImage image)
```
    Allocates a new EdgeHistogramDescriptor so that it represents the media located in the file.
  - EdgeHistogramImplementation
```
public EdgeHistogramImplementation()
```
    Allocates a new EdgeHistogramDescriptor
- 方法详细资料
  - extract
```
public void extract(java.awt.image.BufferedImage image)
```
  - setBinCounts
```
public void setBinCounts(int pos,
                         int[] value)
                  throws java.lang.ArrayIndexOutOfBoundsException
```
    Responsible for setting the Bin Counts in view of the position of the bins.
    
    参数:
    
    pos - position of the bins
    
    value - value of the bin
    
    抛出:
    
    java.lang.ArrayIndexOutOfBoundsException - is necessary, since the bins are stored in an array
  - getBinCounts
```
public int getBinCounts()
                 throws java.lang.Exception
```
    Gets the Bins of the array.
    
    抛出:
    
    java.lang.Exception - indicates conditions that a reasonable application might want to catch.
  - setThreshold
```
public void setThreshold()
```
    If the maximum of the five edge strengths is greater than a threshold, then the image block is considered to have the corresponding edge in it. Otherwise, the image block contains no edge. The default value is 11.
  - getThreshold
```
public int getThreshold()
```
  - makeGreyLevel
```
public void makeGreyLevel()
```
    The width and height of the media is taken to convert the RGB values into luminance values. returns returns the grey_level of the pixel
  - extractFeature
```
public void extractFeature()
```
    extractFeature() takes all the information about the types of edge, that have been found in the sub-images and applies the methods getFirstBlockAVG(int i,int j) through getFourthBlockAVG(int i, int j) on the whole image. returns Local_Edge_Histogram returns the 80 bins
  - setEdgeHistogram
```
public int[] setEdgeHistogram()
```
    In the setEdgeHistogram() method the value for each edgeHistogram bin are quantized by quantization tables. Five quantisation tables for five different edge types are existing.
    
    返回:
    
    returns 80 bins.
  - calculateDistance
```
public static double calculateDistance(int[] edgeHistogramA,
                                       int[] edgeHistogramB)
```
    Calculates the distance between two images taking the edge edgeHistogram into account. take 480 as soft upper border, 0 is hard lower border because there are 80 bins <= 7.
    
    参数:
    
    edgeHistogramA - defines the first point
    
    edgeHistogramB - defines the second point
    
    返回:
    
    the distance from [0, 480]
  - getDistance
```
public double getDistance(LireFeature descriptor)
```
    Compares one descriptor to another.
    
    参数:
    
    descriptor -
    
    返回:
    
    the distance from [0,infinite) or -1 if descriptor type does not match

类 EdgeHistogramImplementation

字段概要

构造器概要

方法概要

从类继承的方法 java.lang.Object

字段详细资料

BIN_COUNT

edgeHistogram

构造器详细资料

EdgeHistogramImplementation

EdgeHistogramImplementation

方法详细资料

extract

setBinCounts

getBinCounts

setThreshold

getThreshold

makeGreyLevel

extractFeature

setEdgeHistogram

calculateDistance

getDistance