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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

Threshold

DLL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。