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Book title: Digital image processing theory and real applications with CD Author: Priyanto Hidayatullah Publisher: Informatics 1St print: Year rising: 2017 Number of pages: 374 Cover: Soft Size: 16x24 Table of contents Chapter 1. Digital image processing recognition 1.1 image understanding 1.2 image processing 1.3 Digital image processing relationship with other diskiplines 1.3.1 computer graphics 1.3.2 image processing 1.3.3 pattern recognition 1.4 application of processing. Digital image in everyday life Chapter 2. Digital image processing FUNDAMENTAL concept 2.1 three components Visual perception shaping 2.1.2 objects 2.1.3 sensors 2.2 human eye pads image formation 2.3 color perception 2.4 light and electromagnetic spectrum (newtonian experiment) Chapter 3. Digital image 3.1 image acquisition 3.1.1 Sampling 3.1.2 Quantization. 3.2 image types 3.2.1 color image 3.2.2 color transparent image 3.2.3 Grayscale image 3.2.4 binary image 3.2.5 indexed image 3.3 image File Format 3.3.1 comparison of Bitmap image and vector42 image 3.3.2 image Data structure. 3.3.3 image File extension 3.3.4 image File Header pads marker. 3.3.5 channel image 3.3.6 size / dimension and image resolution 3.3.7 image File size 3.3.8 reading image from File 3.3.9 display image to screen 3.3-10 store image into File 3.4 relationships between cells in image 3.4.1 neighborhood 3.4.2 inter-pixel distance 3.5 training Chapter 4. Basic operations on DIGITAL image 4.1 arithmetic surgery 4.1.1 additions 4.1.2 subtraction 4.1.3 MAX. 4.1.4 MIN 4.1.5 Inverse image 4.2 operation logic 4.2.1 notes 4.2.2 AND 4.2.3 OR 4.3 training Chapter 5. Image histogram 5.1 making histograms 5.1.1 Grayscale image Histogram 5.1.2 color imagery Histogram 5.2 information content in image histograms 5.2.1 total image intensity 5.2.2 contrast image 5.2.3 dynamics 5.3 Histogram Equalization 5.4 Histogram Specification 5.5 training Chapter 6. Convection and spatial FILTER 6.1 convolution theory 6.2 convolutions operations 6.3 low frequency imagery and high frequency imagery 6.4 spatial Filter 6.5 kinds of filters 6.5.1 Lowpass Filter 6.5.2 Highpass Filter 6.5.3 Bandpass Filter 6.6 training Chapter 7. Fourier transformation 7.1 introduction 7.2 Fourier transformation history 7.3 continuous Fourier transformation 7.4 Fourier diskrete transformation 7.4.1 one-dimensional Fourier diskrete transformation 7.4.2 two-dimensional Fourier diskrete transformation 7.5 Fourier transformation sample for Digital image processing Chapter 8. Image quality improvement 8.1 understanding image quality improvement 8.2 contrast improvement 8.3 Noise reduction 8.3.1 types of noise 8.3.1.1 Salt and Pepper 8.3.1.2 Gaussian 8.1.3.3 periodic noise 8.3.2 Median Filter 8.3.3 Mean Filter 8.3.4 Gaussian Filter 8.4 image sharpening 8.5 training Chapter 9. Binary image 9.1 introduction 9.2 Otsu method 9.3 morphological surgery 9.3.1 Hit 9.3.2 Fit 9.3.3 dilation 9.3.4 erosion 9.3.5 Opening