Imaging Principles and Processing Techniques
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Questions and Answers

What is the primary purpose of image enhancement techniques?

  • To compress image files while preserving quality
  • To segment images into different regions based on characteristics
  • To improve image quality by adjusting brightness, contrast, or sharpness (correct)
  • To identify important features within the image
  • Which of the following image formats is known for lossless compression?

  • BMP
  • PNG (correct)
  • GIF
  • JPEG
  • Which technique is used to divide an image into different regions based on intensity?

  • Image segmentation (correct)
  • Image restoration
  • Image enhancement
  • Feature extraction
  • What is the smallest element of a digital image called?

    <p>Pixel (D)</p> Signup and view all the answers

    What does optical coherence tomography (OCT) mainly provide?

    <p>Cross-sectional images of tissues and internal structures (C)</p> Signup and view all the answers

    What is the effect of image compression on the file size of an image?

    <p>Reduces the file size while maintaining quality (D)</p> Signup and view all the answers

    Which of the following is a non-invasive technique to visualize blood flow patterns in tissues?

    <p>Optical coherence tomography angiography (OCTA) (C)</p> Signup and view all the answers

    What is the main focus of feature extraction in image processing?

    <p>To identify and dissect important features from an image (B)</p> Signup and view all the answers

    Flashcards

    Imaging Principle

    Imaging uses interaction between electromagnetic radiation (or other probes) and the object to create a signal carrying information about its structure, composition, or other properties.

    Image Processing

    Techniques employed to enhance, restore, or analyze images; including improving quality, removing degradations, segmenting, extracting features, and compressing images.

    Digital Image

    An image represented as numerical data, stored and manipulated by computers using pixels for building blocks; with varying resolution and formats like JPEG and PNG.

    Resolution

    Accuracy of image details measured by the number of pixels in an image.

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    Optical Imaging

    Images created using light, encompassing techniques like microscopy (light, fluorescent) for viewing small structures, and OCT/OCTA for internal structure and blood flow visualization.

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    Image Acquisition

    Process of obtaining image data.

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    Pixel

    The smallest element of an image in digital form.

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    Image Display

    Process of presenting a digital image on a screen or other medium.

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    Study Notes

    Principles of Imaging

    • Imaging relies on the interaction of electromagnetic radiation or other probes with the object being imaged.
    • The interaction results in a signal that carries information about the object's structure, composition, or other properties.
    • Different imaging modalities utilize different types of radiation or probes.
    • Signal acquisition involves capturing the emitted or scattered radiation.

    Image Processing Techniques

    • Image processing techniques enhance, restore, or analyze image data.
    • Common techniques include:
      • Image enhancement: Improves image quality by adjusting brightness, contrast, or sharpness.
      • Image restoration: Aims to remove blurring, noise, or other degradations.
      • Image segmentation: Divides the image into different regions based on intensity or other characteristics.
      • Feature extraction: Identifies important features from the image.
      • Image compression: Reduces the size of the image file while maintaining quality.
    • These techniques often involve mathematical operations on the image data.

    Digital Imaging

    • Digital imaging represents images as numerical data.
    • This data is stored and manipulated using computers.
    • Pixelation/pixel: The smallest element of the image.
    • Resolution: Accuracy of measurement/number of pixels.
    • Image format: Determines the way image data is encoded and stored.
    • Examples of formats include JPEG, PNG, TIFF.
    • Image acquisition: The process of obtaining the image data.
    • Image display: The process of presenting the digital image to a user, on a monitor or a physical medium.
    • Image analysis: the process of extracting data from the image, for example, object detection, sizing or classification.

    Optical Imaging

    • Optical imaging utilizes light to create images.
    • It encompasses a wide range of techniques:
      • Microscopy (light microscopy, fluorescence microscopy): Visualizing small structures at high resolution, using light illumination and specific dye markers to illuminate/highlight those structures.
      • Optical coherence tomography (OCT): A non-invasive technique that uses light to create cross-sectional images of tissues and internal structures.
      • Optical coherence tomography angiography (OCTA): A non-invasive imaging technique used to visualize and analyze blood flow patterns in the body's tissues and organs.
      • Hyperspectral Imaging: acquiring images that encode a wide range of wavelengths of visible/near-infrared light (can be used in agriculture, pathology and other sciences)
    • The interaction of light with the object being imaged determines the information captured.
    • Optical imaging techniques have applications in medicine, biology, and materials science.
    • Different techniques are optimized for specific applications, ranging from imaging of cells and tissues to industrial inspection and medical diagnosis.
    • Principles of lens design and light propagation are crucial for understanding and improving optical imaging systems.

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    Description

    This quiz explores the principles of imaging, focusing on the interaction of electromagnetic radiation with objects and the resulting signal acquisition. It also covers various image processing techniques such as enhancement, restoration, segmentation, and feature extraction, all crucial for analyzing and improving image data.

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