removeImages

Class: invertedImageIndex

Remove images from image index

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Syntax

removeImages(imageIndex,indices)

Description

removeImages(imageIndex,indices) removes the images from the imageIndex object that correspond to the indices input.

Input Arguments

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Image search index, specified as an invertedImageIndex object.

Image indices, specified as a row or column vector. The indices correspond to the images within imageIndex.Location.

Examples

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Open Live Script

Create image set.

dataDir  = fullfile(toolboxdir('vision'),'visiondata','imageSets','cups');
imds = imageDatastore(dataDir);

Index the image set.

imageIndex = indexImages(imds)
Creating an inverted image index using Bag-Of-Features.
-------------------------------------------------------

Creating Bag-Of-Features.
-------------------------

* Selecting feature point locations using the Detector method.
* Extracting SURF features from the selected feature point locations.
** detectSURFFeatures is used to detect key points for feature extraction.

* Extracting features from 6 images...done. Extracted 1708 features.

* Keeping 80 percent of the strongest features from each category.

* Balancing the number of features across all image categories to improve clustering.
** Image category 1 has the least number of strongest features: 1366.
** Using the strongest 1366 features from each of the other image categories.

* Using K-Means clustering to create a 20000 word visual vocabulary.
* Number of features          : 1366
* Number of clusters (K)      : 1366

* Initializing cluster centers...100.00%.
* Clustering...completed 1/100 iterations (~0.04 seconds/iteration)...converged in 1 iterations.

* Finished creating Bag-Of-Features


Encoding images using Bag-Of-Features.
--------------------------------------

* Encoding 6 images...done.
Finished creating the image index.

imageIndex = 
  invertedImageIndex with properties:

         ImageLocation: {6x1 cell}
            ImageWords: [6x1 vision.internal.visualWords]
         WordFrequency: [1x1366 double]
         BagOfFeatures: [1x1 bagOfFeatures]
        MatchThreshold: 0.0100
    WordFrequencyRange: [0.0100 0.9000]


imageIndex.ImageLocation
ans = 6x1 cell
    {'/mathworks/devel/bat/BR2020bd/build/matlab/toolbox/vision/visiondata/imageSets/cups/bigMug.jpg'    }
    {'/mathworks/devel/bat/BR2020bd/build/matlab/toolbox/vision/visiondata/imageSets/cups/blueCup.jpg'   }
    {'/mathworks/devel/bat/BR2020bd/build/matlab/toolbox/vision/visiondata/imageSets/cups/handMade.jpg'  }
    {'/mathworks/devel/bat/BR2020bd/build/matlab/toolbox/vision/visiondata/imageSets/cups/holdingCup.jpg'}
    {'/mathworks/devel/bat/BR2020bd/build/matlab/toolbox/vision/visiondata/imageSets/cups/plaid.jpg'     }
    {'/mathworks/devel/bat/BR2020bd/build/matlab/toolbox/vision/visiondata/imageSets/cups/plainWhite.jpg'}

Remove first and third image.

removeImages(imageIndex,[1 3]);
imageIndex.ImageLocation
ans = 4x1 cell
    {'/mathworks/devel/bat/BR2020bd/build/matlab/toolbox/vision/visiondata/imageSets/cups/blueCup.jpg'   }
    {'/mathworks/devel/bat/BR2020bd/build/matlab/toolbox/vision/visiondata/imageSets/cups/holdingCup.jpg'}
    {'/mathworks/devel/bat/BR2020bd/build/matlab/toolbox/vision/visiondata/imageSets/cups/plaid.jpg'     }
    {'/mathworks/devel/bat/BR2020bd/build/matlab/toolbox/vision/visiondata/imageSets/cups/plainWhite.jpg'}

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