像素 Resources

Showing items tagged with "像素"

Image segmentation is the process of partitioning digital images into segments (sets of pixels, also known as superpixels). This technique simplifies and/or transforms image representation to make it more meaningful and easier to analyze [1][2]. Image segmentation is commonly used to locate objects and boundaries (lines, curves, etc.) by assigning labels to each pixel such that pixels with same labels share specific characteristics. Implementation approaches include thresholding, region-growing, and clustering algorithms.

MATLAB 287 views Tagged
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MATLAB Implementation of Gray-Level Co-occurrence Matrix - The joint probability matrix method statistically surveys all pixels in an image to describe its gray-level distribution. This implementation calculates spatial relationships between pixel pairs to extract texture features for image analysis.

MATLAB 212 views Tagged
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Weighted Median Filtering: Similar to standard median filtering, but with weighted masks containing specific values/weights instead of uniform ones. Implementation involves mask convolution, pixel sorting, and median selection. The process includes: 1) Defining a 3x3 weighted mask 2) Position mask at top-left corner 3) Multiply and sort pixels 4) Select median value 5) Assign to center pixel 6) Slide mask across image.

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Implementation of circle detection through Hough Transform methodology. This function employs Standard Hough Transform to identify circular patterns in binary images. Based on the Hough Transform principle for circles, each pixel in image space corresponds to a circular surface in Hough parameter space and vice versa. The upper-left corner serves as the coordinate system origin. The implementation involves accumulator array management and peak detection algorithms for optimal circle identification.

MATLAB 223 views Tagged
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The distance transform computes the distance from each pixel to its nearest feature pixel, generating an image point distance estimation matrix that enables image segmentation. This technique typically employs algorithms like Euclidean distance or chamfer distance for efficient calculation, with implementations available in libraries such as OpenCV via functions like distanceTransform().

MATLAB 233 views Tagged
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