主题
图像阈值化 - Threshold
函数简介
对图像进行阈值化处理,支持多种阈值化方法。
接口名称
ThresholdDLL调用
long Threshold(long instance, long ptr, double thresh, double maxVal, int type);参数说明
| 参数名 | 类型 | 说明 |
|---|---|---|
| instance | 长整数型 | OLAPlug对象的指针,由 CreateCOLAPlugInterFace 接口生成。 |
| ptr | 长整数型 | 图像指针 |
| thresh | 双精度浮点数 | 阈值 |
| maxVal | 双精度浮点数 | 最大值,不超过255 |
| type | 整数型 | 阈值化类型:0 二值化、1 反二值化、2 截断、3 阈值化、4 反阈值化、5 阈值化OTSU、6 反阈值化OTSU |
示例
SDK 调用
cpp
#include "OLAPlugServer.h"
OLAPlugServer ola;
long handle = ola.Threshold(0, 1.0, 1.0, 0);csharp
using OLAPlug;
var ola = new OLAPlugServer();
long handle = ola.Threshold(0, 1.0, 1.0, 0);python
from OLAPlugServer import OLAPlugServer
ola = OLAPlugServer()
handle = ola.Threshold(0, 1.0, 1.0, 0)java
import com.olaplug.OLAPlugServer;
OLAPlugServer ola = new OLAPlugServer();
long handle = ola.Threshold(0, 1.0, 1.0, 0);cpp
var ola = com("OlaPlug.OlaSoft")
var handle = ola.Threshold(0, 1.0, 1.0, 0)vbscript
Set ola = CreateObject("OlaPlug.OlaSoft")
handle = ola.Threshold(0, 1.0, 1.0, 0)text
.局部变量 ola, OLAPlug
ola.创建 ()
handle = ola.Threshold(0, 1.0, 1.0, 0)aardio
import OLAPlugServer;
var ola = OLAPlugServer();
var handle = ola.Threshold(0, 1.0, 1.0, 0);text
变量 ola <类型 = OLAPlugServer>
ola = 新建 OLAPlugServer
长整数 handle = ola.Threshold(0, 1.0, 1.0, 0)cpp
#include "OLAPlugServer.h"
OLAPlugServer ola;
long handle = ola.Threshold(0, 1.0, 1.0, 0);原生 DLL 调用
cpp
long instance = CreateCOLAPlugInterFace();
Threshold(instance, 0, 1.0, 1.0, 0);csharp
using System.Runtime.InteropServices;
using System.Text;
[DllImport("OLAPlug_x64.dll", CallingConvention = CallingConvention.StdCall)]
static extern long CreateCOLAPlugInterFace();
[DllImport("OLAPlug_x64.dll", CallingConvention = CallingConvention.StdCall)]
static extern long Threshold(long ola, long ptr, int thresh, int maxVal, int type);
long instance = CreateCOLAPlugInterFace();
Threshold(instance, 0, 1.0, 1.0, 0);python
from ctypes import CDLL, c_int, c_int64, create_string_buffer
ola = CDLL("OLAPlug_x64.dll")
ola.CreateCOLAPlugInterFace.restype = c_int64
instance = ola.CreateCOLAPlugInterFace()
ola.Threshold(instance, 0, 1.0, 1.0, 0)返回值
长整数型:返回处理后的图像指针,失败返回0。
注意事项
- OTSU方法会自动计算最优阈值,thresh参数会被忽略。
- 建议先转换为灰度图像再进行阈值化处理。
- 返回的图像需调用 FreeImagePtr 释放内存。
