- OpenCV - GUI
- OpenCV - Writing an Image
- OpenCV - Reading Images
- OpenCV - Storing Images
- OpenCV - Environment
- OpenCV - Overview
- OpenCV - Home
Types of Images
Image Conversion
Drawing Functions
- OpenCV - Adding Text
- OpenCV - Drawing Arrowed Lines
- OpenCV - Drawing Convex Polylines
- OpenCV - Drawing Polylines
- OpenCV - Drawing an Ellipse
- OpenCV - Drawing a Rectangle
- OpenCV - Drawing a Line
- OpenCV - Drawing a Circle
Blur
Filtering
- OpenCV - Image Pyramids
- OpenCV - Morphological Operations
- OpenCV - Erosion
- OpenCV - Dilation
- OpenCV - Filter2D
- OpenCV - SQRBox Filter
- OpenCV - Box Filter
- OpenCV - Bilateral Filter
Thresholding
Sobel Derivatives
Transformation Operations
Camera and Face Detection
Geometric Transformations
Miscellaneous Chapters
OpenCV Useful Resources
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
OpenCV - Bilateral Filter
Image filtering allows you to apply various effects to an image. In this chapter and the subsequent three chapters, we are going to discuss various filter operations such as Bilateral Filter, Box Filter, SQR Box Filter and Filter2D.
Bilateral Filter
The Bilateral Filter operation apppes a bilateral image to a filter. You can perform this operation on an image using the medianBlur() method of the imgproc class. Following is the syntax of this method.
bilateralFilter(src, dst, d, sigmaColor, sigmaSpace, borderType)
This method accepts the following parameters −
src − A Mat object representing the source (input image) for this operation.
dst − A Mat object representing the destination (output image) for this operation.
d − A variable of the type integer representing the diameter of the pixel neighborhood.
sigmaColor − A variable of the type integer representing the filter sigma in the color space.
sigmaSpace − A variable of the type integer representing the filter sigma in the coordinate space.
borderType − An integer object representing the type of the border used.
Example
The following program demonstrates how to perform the Bilateral Filter operation on an image.
import org.opencv.core.Core; import org.opencv.core.Mat; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc; pubpc class BilateralFilter { pubpc static void main(String args[]) { // Loading the OpenCV core pbrary System.loadLibrary( Core.NATIVE_LIBRARY_NAME ); // Reading the Image from the file and storing it in to a Matrix object String file ="E:/OpenCV/chap11/filter_input.jpg"; Mat src = Imgcodecs.imread(file); // Creating an empty matrix to store the result Mat dst = new Mat(); // Applying Bilateral filter on the Image Imgproc.bilateralFilter(src, dst, 15, 80, 80, Core.BORDER_DEFAULT); // Writing the image Imgcodecs.imwrite("E:/OpenCV/chap11/bilateralfilter.jpg", dst); System.out.println("Image Processed"); } }
Assume that following is the input image filter_input.jpg specified in the above program.
![Filter Input](/opencv/images/filter_input.jpg)
Output
On executing the program, you will get the following output −
Image Processed
If you open the specified path, you can observe the output image as follows −
![Bilateral Filter Output](/opencv/images/bilateral_filter_output.jpg)