Conversion from HSI Color Model to RGB Color Model for Color Images
Transformation of color images from HSI (Hue, Saturation, Intensity) color representation to RGB (Red, Green, Blue) color space with algorithm implementation details
Explore MATLAB source code curated for "转换" with clean implementations, documentation, and examples.
Transformation of color images from HSI (Hue, Saturation, Intensity) color representation to RGB (Red, Green, Blue) color space with algorithm implementation details
Convert AVI video files to image files with format selection (BMP or JPG). This method extracts each video frame and saves it as an image in the specified format, suitable for frame-by-frame analysis or processing.
A relatively straightforward color histogram quantization and conversion program suitable for applications like object tracking, designed to assist those needing to understand this domain with clear code implementation examples.
Several practical examples for converting time-domain signals to frequency-domain signals, all personally tested and guaranteed to be executable with proper implementation.
Coordinate transformation between two coordinate systems, including mathematical algorithms and implementation approaches.
This program provides a detailed explanation of RGB to grayscale conversion principles and processes, along with comprehensive coverage of erosion and dilation operations including their underlying theories and implementation code.
Implementation of HSI to RGB color space conversion using MATLAB with algorithm explanation and practical applications.
MATLAB implementation for converting images to video with adjustable parameters including frame rate, compression ratio, and resolution optimization
MATLAB code for converting HSI (Hue, Saturation, Intensity) color space to RGB (Red, Green, Blue) color space with implementation details and algorithm explanation
Converting grayscale images to pseudocolor images using MATLAB. This simple program demonstrates how to transform grayscale images into pseudocolor versions by implementing color mapping algorithms. By adjusting conditional parameters and value mappings in the code, you can create more refined pseudocolor images with enhanced visual representation.