Explore MATLAB source code curated for "图像预处理" with clean implementations, documentation, and examples.
This face recognition program performs image preprocessing followed by feature extraction using Principal Component Analysis (PCA). The implementation includes histogram equalization, dimensionality reduction, and classification algorithms.
Image Preprocessing - Denoising Filters - MATLAB Implementation with Detailed Code Examples and Algorithm Explanations
Fingerprint image preprocessing procedures in fingerprint recognition, including normalization, binarization, image segmentation, image enhancement, and image visualization with algorithmic implementations
MATLAB image preprocessing including grayscale conversion, logarithmic transformation, histogram equalization, linear smoothing filters, median filtering, adaptive filtering, image sharpening, image binarization, various edge detection operators, and their code implementations
Comprehensive Image Preprocessing Techniques: Grayscale Conversion, Gaussian Smoothing, Histogram Equalization, and Contrast Enhancement with Implementation Approaches
A comprehensive program for digit character recognition on digital display instruments, featuring image preprocessing, segmentation, and digit recognition algorithms with implementation insights.
This design requirement implements a medical image recognition process comprising three main modules: image preprocessing, image feature extraction, and classification decision. The preprocessing module performs color-to-grayscale conversion, image binarization, histogram correction, noise removal, and edge enhancement. Feature extraction module processes image characteristics through algorithms that analyze local grayscale variations. The classification module employs discriminant functions and rules to identify targets based on extracted features.
Image preprocessing for leaf area calculation including grayscale conversion, histogram equalization, and noise reduction, ultimately determining the pixel sum representing leaf area through segmentation and pixel counting algorithms.
A comprehensive image preprocessing program implementing grayscale transformation, image filtering, image restoration, wavelet transform, morphological processing, and shape recognition with detailed code explanations
A collection of compact MATLAB programs for image preprocessing tasks including normalization and edge detection techniques. These implementations utilize various algorithms and methods to enhance image processing workflows.