Digital Image Processing

Complete Free handbook of Digital Image Processing with diagrams and graphs. App covers notes on Digital Image Processing. The best app in Engineering Education also brings the blog where you can contribute your work and get the research, industry, university News on the subject.

Digital Image Processing application serves to both engineering students and professionals.

It provides quick revision and reference to the topics like a detailed flash card. Each topic is complete with diagrams, equations and other forms of graphical representations for easy understanding.

It covers more than 120 topics of Digital image processing. The topics are divided in 7 units.

Some of topics Covered in this application are:

1. Global properties using B-rep model

2. Compression fundamentals

3. Lossless data compression

4. Image restoration

5. Linear position invariant degradation models

6. Elements of visual perception

7. Color perception

8. Image sampling and quantization

9. Basic relationship between pixels

10. Basic geometric transformations

11. Introduction to Fourier transform and DFT

12. Fast Fourier transform

13. Properties of two dimensional Fourier transform

14. Separable image transforms

15. Walsh, Hadamard, discrete cosine, Haar and Slant transforms

16. Spatial domain methods

17. Grey scale manipulation and histogram equalization

18. Image subtraction and Image averaging

19. Spatial filtering on images

20. Smoothing filters on images

21. Sharpening filters on images

22. Derivative filters on images

23. Laplacian filters on images

24. Frequency domain

25. Homomorphic filtering

26. Image restoration process

27. Model of image degradation

28. Noise models

29. Characteristics of the noise models

30. Order-Statistics Filters

31. Adaptive filters - Digital Image Processing

32. Least-Mean-Square (LMS) Algorithm

33. Blind Image Restoration and Recognition

34. Pseudo-Inverse Filtering

35. Singular value decomposition

36. Lossless compression

37. Lossy compression

38. Lempel-Ziv-Welch (LZW) Compression

39. Lempel-Ziv-Welch (LZW) decompression

40. Bit plane coding

41. Differential Pulse Code Modulation (DPCM)

42. Image representation

43. Transform Coding

44. Wavelet Image Coding

45. JPEG Compression

46. MPEG Compression

47. Basics of Vector quantization

48. Image Segmentation

49. Edge Detection

50. Image thresholding

51. Region based segmentation

52. Boundary Representation Models

53. Data structure of boundary representation models

54. Vertex-based boundary model

55. Face-based boundary models

56. Graph representation

57. Validity of boundary models

58. Faceted modelers for some B-rep systems

59. Two-and-half dimensional drawing

60. Advantage and disadvantage of boundary representation

61. Polygonal approximation

62. Algorithm for closed contours

63. Solution for closed contours

64. Heuristic algorithms

65. Multiple-object polygonal approximation

66. Optimal algorithms for min-# problem

67. Iterative reduced search

68. Boundary Descriptors

69. Radial Distance Measures

70. Linear Discriminant Analysis

71. Reduced search algorithm

72. The Hough transform

73. Edge detection techniques

74. Laplacian of Gaussian

75. Canny - Edge Detection Algorithm

76. Fundamentals of color

77. The RGB Color Model

78. Additive vs. Subtractive Color Models

79. Interactive Specification of Color

80. Colour Image Processing

81. CIE primaries

82. The HSI Model

83. The YIQ Model

84. Transferring Color to Greyscale Images

85. Basics of Full-Colour Image Processing

86. Colour Slicing

87. Tone and Colour Corrections

88. Intensity slicing

89. Intensity to color transformation

90. Morphological Image Processing

91. Dilating an Image

92. Structuring Elements

93. Structuring Element Decomposition

All topics are not listed because of character limitations set by the Play Store.

Lengkapkan Buku panduan percuma Digital Image Processing dengan gambar rajah dan graf. App meliputi nota pada Digital Image Processing. Aplikasi dalam Pendidikan Kejuruteraan juga membawa blog di mana anda boleh menyumbang kerja anda dan mendapatkan penyelidikan, industri, universiti Berita mengenai perkara ini.

Memproses permohonan Imej digital berfungsi untuk kedua-dua pelajar kejuruteraan dan profesional.

Ia menyediakan semakan cepat dan rujukan kepada topik seperti kad terperinci flash. Setiap topik lengkap dengan gambar rajah, persamaan dan bentuk-bentuk perwakilan grafik untuk pemahaman mudah.

Ia meliputi lebih daripada 120 topik pemprosesan imej Digital. Topik-topik dibahagikan dalam 7 unit.

Antara topik yang dibincangkan dalam permohonan ini adalah:

1. sifat Global menggunakan model B-rep

2. asas Mampatan

3. Lossless pemampatan data

pemulihan 4. Image

5. Linear kedudukan model degradasi tak berubah

6. Unsur-unsur persepsi visual

7. warna persepsi

8. persampelan Imej dan pengkuantuman

9. hubungan asas antara piksel

10. transformasi geometri asas

11. Pengenalan kepada jelmaan Fourier dan DFT

12. Fourier Fast mengubah

13. Sifat dua Fourier dimensi mengubah

14. jelmaan imej diasingkan

15. Walsh, Hadamard, kosinus diskret, Haar dan jelmaan Slant

16. kaedah domain Spatial

17. Gray manipulasi skala dan histogram penyamaan

penolakan 18. Imej dan pemurataan Image

19. penapisan Spatial pada imej-imej

20. penapis Smoothing pada imej-imej

21. penapis Sharpening pada imej-imej

22. penapis derivatif pada imej-imej

23. penapis Laplace pada imej-imej

domain 24. Kekerapan

25. penapisan Homomorphic

proses pemulihan 26. Image

27. Model degradasi imej

28. model Noise

29. Ciri-ciri model bunyi

30. Pesanan Statistik Penapis

31. penapis Adaptive - Pemprosesan Imej Digital

32. Kurangnya-Min-Square (LMS) Algoritma

33. Blind Pemulihan Imej dan Pengiktirafan

34. Pseudo-songsang Penapisan

35. Singular nilai penguraian

mampatan 36. Lossless

37. mampatan lossy

38. Lempel-Ziv-Welch (LZW) Mampatan

39. Lempel-Ziv-Welch (LZW) penyahmampatan

40. Bit pesawat pengekodan

41. Berbeza Pulse Code Modulation (DPCM)

perwakilan 42. Image

43. Mengubah Coding

44. Wavelet Coding Image

45. JPEG mampatan

46. ​​MPEG mampatan

47. Dasar-dasar dari pengkuantuman Vector

Segmentasi 48. Image

Pengesanan 49. Edge

pengambangan 50. Image

51. Rantau Segmentasi berasaskan

52. Model Perwakilan Boundary

53. Struktur Data model perwakilan sempadan

model sempadan berasaskan Vertex 54.

55. model sempadan berdasarkan Face-

perwakilan 56. Graph

57. Kesahan model sempadan

pereka model 58. aspek bagi sesetengah sistem B-rep

-Setengah Dua dan 59. lukisan dimensi

60. Kelebihan dan Kelemahan perwakilan sempadan

61. penghampiran poligon

62. Algoritma untuk kontur tertutup

63. Penyelesaian untuk kontur tertutup

64. algoritma heuristik

65. Multiple-objek penghampiran poligon

66. algoritma Optimal untuk # masalah min-

67. lelaran dikurangkan carian

68. Boundary deskriptor

69. Langkah-langkah Radial Jarak

Analisis 70. Linear pembezalayan

71. Mengurangkan algoritma carian

72. Hough mengubah

73. Edge teknik pengesanan

74. Laplace daripada Gaussian

75. Canny - Edge Pengesanan Algoritma

76. Asas warna

Model 77. RGB Warna

78. Additive vs Model Luak Warna

79. Interactive Spesifikasi Warna

80 Warna Pemprosesan Imej

81 pendahuluan CIE

Model 82. HSI

Model 83. YIQ

84 Memindahkan warna untuk Skala kelabu Images

85 Dasar-dasar dari penuh warna Image Processing

86. Warna Slicing

87. Nada dan Pembetulan Warna

88. Intensiti menghiris

89. Intensiti kepada transformasi warna

90. morfologi Pemprosesan Imej

91. mengembangkan Imej

92. Penstrukturan Elements

93. Penstrukturan Element penguraian

Semua topik yang tidak disenaraikan kerana batasan watak yang ditetapkan oleh Gedung Play.