image = boundImg (inImg,inOutputRange)

Detailed Description

Algorithm allowing to bound image values to a given range algorithm.

Given an input image $ InImg $ and an input range for output image $ InOutputRange = [InOutputMin, InOutputMax] $ , output image values are given by :

$OutImg[i] = \begin{cases} InOutputMin & \text { if } InImg[i] < InOutputMin \\ InOutputMax & \text { if } InImg[i] > InOutputMax \\ InImg[i] \text { otherwise} \end{cases}$

Here is an example of image bound applied to a 8-bits grey level image with $[InOutputMin, InOutputMax]=[75, 150]$ :

Example of Python code :

Example imports

import PyIPSDK

import PyIPSDK.IPSDKIPLArithmetic as arithm

Code Example

    # opening of input image
    inImg = PyIPSDK.loadTiffImageFile(inputImgPath)
    
    # image bounding
    outImg = arithm.boundImg(inImg, PyIPSDK.createRange(75, 150))

Example of C++ code :

Example informations

Header file

#include <IPSDKIPL/IPSDKIPLArithmetic/Processor/BoundImg/BoundImg.h>

Code Example

    // opening input image
    ImagePtr pInImg = loadTiffImageFile(inputImgPath);
    // define a bounding range
    RangePtr pRange(boost::make_shared<Range>());
    pRange->setValue<Range::Min>(75);
    pRange->setValue<Range::Max>(150);
    // apply image bounding
    ImagePtr pOutImg = boundImg(pInImg, pRange);