removeImages
Remove images from image index
Description
removeImages(
removes the images from the imageIndex
,imageIds
)imageIndex
object that correspond
to the imageIds
input.
Examples
Remove Indexed Image
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. * Creating a 1366 word visual vocabulary. * Number of levels: 1 * Branching factor: 1366 * Number of clustering steps: 1 * [Step 1/1] Clustering vocabulary level 1. * Number of features : 1366 * Number of clusters : 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: [0.1667 0.1667 0.1667 0.3333 0.1667 0.1667 0.1667 0.5000 0.3333 0.1667 0.3333 0.1667 0.1667 0.1667 0.1667 0.1667 0.1667 0.1667 0.1667 0.3333 0.1667 0.1667 0.1667 0.1667 0.1667 0.1667 0.1667 0.1667 0.1667 ... ] (1x1366 double) BagOfFeatures: [1x1 bagOfFeatures] ImageID: [1 2 3 4 5 6] MatchThreshold: 0.0100 WordFrequencyRange: [0.0100 0.9000]
imageIndex.ImageLocation
ans = 6x1 cell
{'/mathworks/devel/bat/filer/batfs2566-0/Bdoc24b.2725827/build/runnable/matlab/toolbox/vision/visiondata/imageSets/cups/bigMug.jpg' }
{'/mathworks/devel/bat/filer/batfs2566-0/Bdoc24b.2725827/build/runnable/matlab/toolbox/vision/visiondata/imageSets/cups/blueCup.jpg' }
{'/mathworks/devel/bat/filer/batfs2566-0/Bdoc24b.2725827/build/runnable/matlab/toolbox/vision/visiondata/imageSets/cups/handMade.jpg' }
{'/mathworks/devel/bat/filer/batfs2566-0/Bdoc24b.2725827/build/runnable/matlab/toolbox/vision/visiondata/imageSets/cups/holdingCup.jpg'}
{'/mathworks/devel/bat/filer/batfs2566-0/Bdoc24b.2725827/build/runnable/matlab/toolbox/vision/visiondata/imageSets/cups/plaid.jpg' }
{'/mathworks/devel/bat/filer/batfs2566-0/Bdoc24b.2725827/build/runnable/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/filer/batfs2566-0/Bdoc24b.2725827/build/runnable/matlab/toolbox/vision/visiondata/imageSets/cups/blueCup.jpg' }
{'/mathworks/devel/bat/filer/batfs2566-0/Bdoc24b.2725827/build/runnable/matlab/toolbox/vision/visiondata/imageSets/cups/holdingCup.jpg'}
{'/mathworks/devel/bat/filer/batfs2566-0/Bdoc24b.2725827/build/runnable/matlab/toolbox/vision/visiondata/imageSets/cups/plaid.jpg' }
{'/mathworks/devel/bat/filer/batfs2566-0/Bdoc24b.2725827/build/runnable/matlab/toolbox/vision/visiondata/imageSets/cups/plainWhite.jpg'}
Input Arguments
imageIndex
— Image search index
invertedImageIndex
object
Image search index, specified as an invertedImageIndex
object.
imageIds
— Image identifiers
vector of positive integers
Image identifiers, specified as a vector of positive integers. The image
identifiers correspond to the identifiers in
imageIndex.ImageID
, where ImageID
is a property of the invertedImageIndex
object.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Version History
Introduced in R2015a
See Also
MATLAB Command
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