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Showing 1 to 5 of 5 for “"Textons"”.

  1. Retinal vessel segmentation using textons

    … retinal image segmentation approaches based on textons as they provide a compact description of texture that can be learnt from a training set. This thesis presents a brief review of those diseases and also includes their current situations, future trends and techniques used for their automatic …

    east-anglia Repository record for Retinal vessel segmentation using textons (opens in a new tab)

  2. Texture measures for segmentation

    … areas of the image with different properties. Textons are an adaptive histogram method which describes the distribution of typical feature vectors. Local descriptors calculate features from smaller neighbourhoods than filter banks. Some local descriptors calculate a scale for their local …

    cape-town Repository record for Texture measures for segmentation (opens in a new tab)

  3. Iris categorization using texton representation and symbolic features

    … given sample has. Once images are represented by textons, they are clustered in an unsupervised process. Success of the system is assessed as its ability to take a previously unseen image from a subject and classify it the same as the database reference for the subject. This work improves upon the …

    u-pacific Repository record for Iris categorization using texton representation and symbolic features (opens in a new tab)

  4. Agricultural Crop Monitoring with Computer Vision

    … the image textures of the plants through use of textons.

    vt Repository record for Agricultural Crop Monitoring with Computer Vision (opens in a new tab)

  5. Bayesian level sets and texture models for image segmentation and classification with application to non-invasive stem cell monitoring

    … of class-specific textural primitives, known as textons, within a three-stage Markov model. The resulting algorithm accurately and automatically classifies and segments images of pluripotent hESC and trophectoderm colonies with 97% and 91% accuracy for high-content screening applications and …

    mit Repository record for Bayesian level sets and texture models for image segmentation and classification with application to non-invasive stem cell monitoring (opens in a new tab)