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.

Menyelesaikan buku pegangan Gratis dari Digital Image Processing dengan diagram dan grafik. App mencakup catatan pada Digital Image Processing. Aplikasi terbaik dalam Pendidikan Teknik juga membawa blog di mana Anda dapat berkontribusi pekerjaan Anda dan mendapatkan penelitian, industri, universitas Berita pada subjek.

Aplikasi Image Processing digital berfungsi untuk kedua mahasiswa teknik dan profesional.

Ini memberikan revisi cepat dan mengacu pada topik seperti kartu flash rinci. Setiap topik lengkap dengan diagram, persamaan dan bentuk-bentuk representasi grafis untuk memudahkan pemahaman.

Ini mencakup lebih dari 120 topik dari pengolahan citra digital. Topik dibagi dalam 7 unit.

Beberapa topik Covered dalam aplikasi ini adalah:

1. Sifat global dengan menggunakan model B-rep

2. Kompresi fundamental

3. kompresi data Lossless

restorasi 4. Gambar

5. Linear posisi model degradasi invarian

6. Elemen persepsi visual

7. Persepsi Warna

8. Gambar sampling dan kuantisasi

9. Hubungan Dasar antara piksel

10. transformasi geometris Dasar

11. Pengantar Transformasi Fourier dan DFT

12. Fast Fourier transform

13. Sifat dua Fourier transform dimensi

14. transformasi image dipisahkan

15. Walsh, Hadamard, cosinus diskrit, Haar dan transformasi Slant

16. metode domain spasial

17. Gray skala manipulasi dan histogram pemerataan

18. Gambar pengurangan dan Gambar averaging

19. filtering Spatial gambar

20. Smoothing filter gambar

21. Mengasah filter gambar

22. filter Derivatif gambar

23. filter Laplacian gambar

domain 24. Frekuensi

25. filtering homomorphic

proses restorasi 26. Gambar

27. Model degradasi gambar

28. model Kebisingan

29. Karakteristik model kebisingan

30. Orde-Statistik Filter

31. filter Adaptive - Digital Image Processing

32. Least-Mean Square (LMS) Algoritma

33. Blind Gambar Restorasi dan Pengakuan

34. Pseudo-Inverse Filtering

35. Nilai Singular dekomposisi

kompresi 36. Lossless

37. kompresi Lossy

38. Lempel-Ziv-Welch (LZW) Kompresi

39. Lempel-Ziv-Welch (LZW) dekompresi

40. Bit pesawat coding

41. Differential Pulse Code Modulation (DPCM)

representasi 42. Gambar

43. Transform Coding

44. Wavelet Gambar Coding

45. JPEG Compression

46. ​​MPEG Kompresi

47. Dasar-dasar dari Vector quantization

48. Gambar Segmentasi

49. Deteksi Tepi

50. Gambar thresholding

51. Daerah segmentasi berdasarkan

52. Model Representasi Batas

53. Struktur data dari model representasi batas

Model batas berbasis Vertex 54.

55. model batas berbasis Wajah

representasi 56. Grafik

57. Validitas model batas

pemodel 58. faceted untuk beberapa sistem B-rep

59. Dua-dan-setengah menggambar dimensi

60. Keuntungan dan kerugian dari representasi batas

61. pendekatan Polygonal

Algoritma 62. untuk kontur tertutup

63. Solusi untuk kontur tertutup

64. algoritma heuristik

65. Multiple-objek pendekatan poligonal

66. algoritma Optimal untuk # masalah min

67. Iteratif berkurang pencarian

68. Batas Deskriptor

69. Tindakan Radial Jarak

Analisis 70. Linear Discriminant

71. algoritma pencarian Mengurangi

72. Hough transform

73. teknik deteksi tepi

74. Laplacian of Gaussian

75. Canny - Deteksi Tepi Algoritma

76. Dasar-dasar warna

Model 77. RGB Color

78. Additive vs Model subtraktif Warna

79. Interaktif Spesifikasi Warna

80. Warna Image Processing

81. pendahuluan CIE

Model 82. HSI

Model 83. YIQ

84. Memindahkan Warna ke Images Skala abu-abu

85. Dasar-dasar dari Full-Color Image Processing

86. Warna Mengiris

87. Nada dan Koreksi Warna

88. Intensitas mengiris

89. Intensitas transformasi warna

90. morfologi Image Processing

91. dilatasi Image

92. Penataan Elemen

93. Penataan Elemen penguraian

Semua topik yang tidak tercantum karena keterbatasan karakter yang ditetapkan oleh Play Store.