Image Segmentation Techniques and Real-World Applications

Image Segmentation Techniques and Real-World Applications. Here you will know that What is meant by Image segmentation. What are main techniques for image segmentation. As well as what are real world application of image segmentation.

What is segmentation?

Image segmentation is the process of partitioning an image into a collection of connected sets of pixels. The goal of segmentation is to simplify change the representation of an image into something that is more meaningful and easier to analyses.

    Image segmentation is typically used to locate objects and boundaries like lines, curves in images. It is the process of assigning a label to every pixel in an image.

    Three main techniques to do.

    1. Thresholding
    2. Region based segmentation
    3. Edge based segmentation

    THRESHOLDING

    Thresholding is finding histogram of gray level intensity.

    Types

    1. Basic Global Thresholding
    2. Multiple Threshold
    3. Variable Thresholding
    4. Otsu’s Technique

    Basic Global Thresholding

    • Primarily Segment image use:
    Primarily Segment image. Image Segmentation Techniques and Real-World Applications
    Primarily Segment image
    • Calculate the average intensity m1 and m2 for the pixels.
    Image Segmentation Techniques and Real-World Applications. average intensity m1 and m2
    average intensity m1 and m2
    • Calculate a fresh threshold:

    T = ½(m1 + m2)

    • Until the variance between values of T is minor than a predefined parameter.

    Download : Program for Dilation, Erosion, Opening and Closing in Matlab

    Real-world applications of image segmentation.

    1. Machine vision
    2. Deep Learning
    3. Medical imaging, including volume rendered images from CT (Computed Tomography) and MRI (Magnetic Resonance Imaging).
    4. Measure tissue volumes
    5. Surgery planning

    6. Intra-surgery navigation
    7. Locate tumors and pathologies
    8. Virtual surgery simulation
    9. Diagnosis, learning of anatomical structure
    10. Pedestrian recognition

    11. Object recognition
    12. Face detection
    13. Face recognition
    14. Recognition Tasks
    15. Fingerprint recognition

    16. Iris recognition
    17. Traffic controller schemes
    18. Brake light detection
    19. Video investigation
    20. Find objects in satellite images like roads, forests, crops.

    All above data that is shared here is refraining to the book ZERO-TO-HERO by ARSATH NATHEEM S Copyright © 2017, 2018 by futurebme.com.

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