japgiraldo/pre-and-post-image-processing-for-flocs

Pre- and Post-processing floc images You will find for MATLAB codes to process your images. Pre-processing: CroppingImages Post-processing: FlocCounter, PlotFlocCounterML_interactions, ContourOverlayImage CroppingImages: This code crops the batch images FlocCounter: This code counts flocs using batch images PlotFlocCounterML_interactions: This code shows the evolution of each training ContourOverlayImage: This code performs a delimitation of the edges of the detected flocs

pre-and-post-image-processing-for-flocs

You will find MATLAB219b (or later) codes to process your images.

If you have an earlier MATLAB version, you cannot use the function "centerCropWindow2d", which is used in the code CroppingImages.m. For tutorial purposes, you can use the cropped images from the folder "CroppedImages1000by1000" to applied the image processing and the post-processing

Pre-processing: CroppingImages
Post-processing: FlocCounter, PlotFlocCounterML_interactions, ContourOverlayImage, Code Descriptions

Code Descriptions

CroppingImages: This code crops the batch images.
FlocCounter: This code counts flocs using batch images.
PlotFlocCounterML_interactions: This code shows the evolution of each training.
ContourOverlayImage: This code performs a delimitation of the edges of the detected flocs.

Example: Bentonite images

Number of images: 80
Number of time series: 2
Series nnumber 1: Odd labels
Series nnumber 2: Even labels
Sampling rate for a single serie:
       t1 = 0.5:0.5:10;
       t2 = t1(end)+1:1:30;
      TimeSample = [t1,t2]';