Philippines

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