AmrutaSakhare1

6.2 installation of libraries 6.1 installation of pandas 5.8 emerging trends in image p 5.7 image registration and fus 5.6 3d image processing 5.5 multispectral and hyperspe 5.4 applications of morphologi 5.3 opening and closing operat 5.2 dilation and erosion opera 5.1 basics of mathematical mor 4.4 deep learning approaches 4.3 machine learning in image 4.2template matching 4.1 feature extraction methods 3.7 edge detection and boundar 3.6.2 split and merge 3.6.1 region growing 3.6region-based segmentation 3.5thresholding techniques 3.4 importance of image segmen 3.3evaluation of compression t 3.2.3 transform coding and jpe 3.2.2 huffman coding 3.2.1 run-length encoding 3.2 basics of image compressio 3.1 lossless vs. lossy compres 2.4.1 frequency domain filters 2.4 noise removal and spatial 2.3 degradation models 2.2.2 filtering techniques 2.2.1 fourier transform 2.2 frequency domain methods 2.1.2 histogram equalization 2.1.1 point operations 2.1 spatial domain methods 1.7 image representation and h 1.6 image acquisition and samp 1.5 elements of digital image 1.4 application of digital ima 1.3 block diagram of fundament 1.2 fundamentals of image proc 1.1 basics of digital images