Binary Image processing
2. Explain Binary Image processing Answer: Binary Image Processing Binary image processing focuses on manipulating images with only two possible pixel values: typically 0 (black) and 1 (white). These images…
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Explain Color Fundamentals.
1. What is Color: Color is a visual perception created by the wavelength of light reflected from an object and sensed by the human eye. Although color perception is a…
Explain Segmentation by Region Growing and Region Splitting & Merging.
1. Region Growing Definition: Region Growing is a segmentation technique where the image is divided into meaningful regions by starting with seed points and growing regions by adding neighboring pixels…
Neighborhood operators in Image processing
Answer: Neighborhood Operators in Image Processing Neighborhood operators in image processing operate over local regions (neighborhoods) of pixels to perform various image transformations. While linear filters perform weighted sums of…
Explain detection of isolated points, lines, and edges in an image.
1. Detection of Isolated Points Purpose:To detect pixels that have intensity significantly different from their 8 neighbors — these are isolated points. Method Used: Use second-order derivative — specifically, the…
Explain Point, Line, and Edge Detection using first and second-order derivatives.
Image segmentation based on discontinuities in intensity focuses on detecting points, lines, and edges in an image. These features are characterized by abrupt changes in pixel values and are detected…
Explain the fundamentals of image segmentation. List and explain the conditions that a segmented image must satisfy.
Image segmentation is the process of partitioning a digital image into multiple meaningful regions or objects. These regions represent sets of pixels with similar attributes like intensity, color, or texture.…
Explain how periodic noise can be removed using frequency domain filtering. Describe the notch filtering and optimum notch filtering techniques.
Periodic Noise is caused by electrical or mechanical interference and appears in images as repeating patterns. In the frequency domain, it shows up as concentrated spikes or bursts of energy…
Explain Adaptive Filters. Describe Adaptive Local Noise Reduction Filter and Adaptive Median Filter with necessary conditions and equations.
Adaptive Filters are spatial filters whose behavior changes dynamically based on the local statistical properties (like mean and variance) of the image within a filter window. Unlike fixed filters, they…
What are Order-Statistic Filters? Explain various types of Order-Statistic Filters with equations.
Order-statistic filters are spatial filters that process an image by sorting the pixel values in a defined neighborhood and selecting a value based on some statistical order (e.g., median, max,…