影像及訊號辨識

臺北科技大學 114-2 學期課程，課號 356199。

課程大綱

本課程介紹主題包括基本的影像處理算法，如直方圖均衡化；影像濾波與卷積；輪廓提取、霍夫變換，以及模式辨識與分類。 This course introduce basic image processing algorithm such as histogram equalization; Image Filtering and Convolution; Contour Extractions, Hough Transform , Pattern Recognition and Classification

課程進度

Weeks 1-2: Introduction to Image and Signal Processing Overview of image and signal processing Basics of digital image representation Introduction to MATLAB or Python for image and signal processing Weeks 3-4: Image Enhancement Techniques Histogram equalization Spatial domain methods (smoothing, sharpening) Frequency domain methods (Fourier transform) Weeks 5-6: Image Filtering and Convolution Convolution operation Linear and nonlinear filtering Edge detection techniques Weeks 7-8: Image Transformations Image rotation, scaling, and translation Geometric transformations Introduction to wavelet transforms Weeks 9-10: Image Segmentation Thresholding methods Region-based segmentation Clustering algorithms for segmentation Weeks 11-12: Image Feature Extraction Feature extraction techniques Corner detection and Harris corner detector SIFT and SURF feature descriptors Weeks 13-14: Introduction to Signal Recognition Overview of signal recognition Signal processing techniques Feature extraction from signals Weeks 15-16: Pattern Recognition and Classification Introduction to pattern recognition Supervised and unsupervised learning Classification algorithms (e.g., SVM, k-NN) Weeks 17-18: Final Project and Review Application of image and signal recognition techniques in a final project Review of key concepts Preparation for final assessments

評量方式

Homework 30% Midterm 30% Final Projects 40%

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 "Image Processing, Analysis, and Machine Vision" by Milan Sonka, Vaclav Hlavac, and Roger Boyle