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Class Information
Number: 382
Name: Image analysis >
Description: GENERAL STATEMENT OF THE CLASS SUBJECT MATTER


Class Number Class Name No. of Patents
382/100

Applications

1825
382/154

3-d or stereo imaging analysis

1411
382/110

Animal, plant, or food inspection

161
382/128

Biomedical applications

1724
382/133

Cell analysis, classification, or counting

441
382/134

Blood cells

99
382/129

Dna or rna pattern reading

192
382/130

Producing difference image (e.g., angiography)

257
382/131

Tomography (e.g., cat scanner)

796
382/132

X-ray film analysis (e.g., radiography)

753
382/112

Document or print quality inspection (e.g., newspaper, photographs, etc.)

340
382/101

Mail processing

253
382/102

Zip code

41
382/141

Manufacturing or product inspection

839
382/142

Bottle inspection

77
382/143

Inspection of packaged consumer goods

89
382/145

Inspection of semiconductor device or printed circuit board

714
382/151

Alignment, registration, or position determination

549
382/148

At plural magnifications or resolutions

69
382/149

Fault or defect detection

600
382/150

Faulty soldering

92
382/147

Inspecting printed circuit boards

262
382/146

Measuring external leads

94
382/144

Mask inspection (e.g., semiconductor photomask)

462
382/152

Tool, workpiece, or mechanical component inspection

264
382/107

Motion or velocity measuring

609
382/115

Personnel identification (e.g., biometrics)

679
382/117

Using a characteristic of the eye

260
382/116

Using a combination of features (e.g., signature and fingerprint)

210
382/118

Using a facial characteristic

669
382/124

Using a fingerprint

880
382/125

Extracting minutia such as ridge endings and bifurcations

261
382/126

With a guiding mechanism for positioning finger

127
382/127

With a prism

134
382/119

Using a signature

177
382/123

Sensing geometrical properties

40
382/121

Sensing pressure only

37
382/120

Sensing pressure together with speed or acceleration

29
382/122

Sensing speed or acceleration only

33
382/106

Range or distance measuring

290
382/114

Reading aids for the visually impaired

42
382/137

Reading bank checks (e.g., documents bearing e-13b type characters)

213
382/139

Reading micr data

108
382/140

Including an optical imager or reader

72
382/138

Reading monetary amount

58
382/136

Reading coins

27
382/113

Reading maps, graphs, drawings, or schematics

134
382/135

Reading paper currency

358
382/153

Robotics

193
382/109

Seismic or geological sample measuring

68
382/108

Surface texture or roughness measuring

197
382/103

Target tracking or detecting

1321
382/111

Textiles or clothing

95
382/104

Vehicle or traffic control (e.g., auto, bus, or train)

420
382/105

License plate

39
382/162

Color image processing

1461
382/167

Color correction

1703
382/166

Compression of color images

568
382/163

Drop-out color in image (i.e., color to be removed)

125
382/164

Image segmentation using color

448
382/165

Pattern recognition or classification using color

675
382/309

Editing, error checking, or correction (e.g., postrecognition processing)

231
382/310

Correcting alphanumeric recognition errors

95
382/311

Including operator interaction

152
382/168

Histogram processing

496
382/171

For segmenting an image

273
382/172

For setting a threshold

242
382/169

With a gray-level transformation (e.g., uniform density transformation)

283
382/170

With pattern recognition or classification

369
382/232

Image compression or coding

2213
382/239

Adaptive coding (i.e., changes based upon history, activity, busyness, etc.)

1039
382/242

Contour or chain coding (e.g., bezier)

209
382/237

Gray level to binary coding

316
382/233

Including details of decompression

1079
382/236

Interframe coding (e.g., difference or motion detection)

1135
382/244

Lossless compression

239
382/247

Arithmetic coding

147
382/246

Huffman or variable-length coding

477
382/245

Run-length coding

413
382/234

Parallel coding architecture

158
382/241

Polygonal approximation

107
382/238

Predictive coding

696
382/240

Pyramid, hierarchy, or tree structure

857
382/251

Quantization

712
382/252

Error diffusion or dispersion

338
382/253

Vector quantization

218
382/243

Shape, icon, or feature-based compression

470
382/235

Substantial processing of image in compressed form

347
382/248

Transform coding

650
382/250

Discrete cosine or sine transform

626
382/249

Fractal

77
382/254

Image enhancement or restoration

989
382/275

Artifact removal or suppression (e.g., distortion correction)

1132
382/266

Edge or contour enhancement

858
382/268

Minimize discontinuities at boundaries of image blocks (i.e., reducing blocking effects or effects of wrap-around)

256
382/267

Minimize discontinuities in dot-matrix image data (i.e., connecting or merging the dots)

71
382/269

Minimize jaggedness in edges (e.g., anti-aliasing)

256
382/255

Focus measuring or adjusting (e.g., deblurring)

219
382/260

Image filter

920
382/261

Adaptive filter

380
382/263

Highpass filter (i.e., for sharpening or enhancing details)

297
382/264

Lowpass filter (i.e., for blurring or smoothing)

443
382/262

Median filter

121
382/265

Recursive filter

85
382/274

Intensity, brightness, contrast, or shading correction

1296
382/256

Object boundary expansion or contraction

110
382/257

Dilation or erosion (e.g., opening or closing)

172
382/258

Line thinning or thickening

140
382/259

Skeletonizing

75
382/270

Variable threshold, gain, or slice level

467
382/272

Based on a local average, mean, or median

240
382/273

Based on peak levels

145
382/271

Based on the results of a count

74
382/173

Image segmentation

1079
382/176

Distinguishing text from other regions

528
382/180

Region labeling (e.g., page description language)

244
382/177

Segmenting individual characters or words

262
382/179

Segmenting hand-printed characters

81
382/178

Separating touching or overlapping characters

101
382/175

Separating document regions using preprinted guides or markings

202
382/174

Using projections (i.e., shadow or profile of characters)

155
382/312

Image sensing

515
382/316

Curve tracer

52
382/313

Hand-held

338
382/315

Sensing mechanism in platen

95
382/314

Sensing mechanism in stylus

153
382/320

Magnetic

76
382/318

Multiple scanning

204
382/319

Prescanning

85
382/321

Optical (e.g., ocr)

314
382/324

Full retina

65
382/323

Single line

86
382/322

Single spot

26
382/317

Sensor control (e.g., ocr sheet controls copier or fax)

247
382/276

Image transformation or preprocessing

665
382/293

Changing the image coordinates

361
382/294

Registering or aligning multiple images to one another

744
382/298

To change the scale or size of an image

785
382/299

Raising or lowering the image resolution (e.g., subpixel accuracy)

685
382/300

Interpolation

643
382/301

Where the image is an alphanumeric character

44
382/295

To position or translate an image

232
382/296

To rotate an image

385
382/297

Rotation of image is limited to 90 degrees, 180 degrees, or 270 degrees

150
382/284

Combining image portions (e.g., portions of oversized documents)

842
382/279

Convolution

155
382/278

Correlation

414
382/280

Fourier transform

310
382/307

General purpose image processor

125
382/308

Morphological operations (i.e., local neighborhood operations)

178
382/305

Image storage or retrieval

977
382/306

Using identification indicia on document

268
382/285

Mapping 2-d image onto a 3-d surface

296
382/286

Measuring image properties (e.g., length, width, or area)

406
382/287

Detecting alignment marks

171
382/289

Determining amount an image is rotated or skewed

294
382/290

Where the image is a character, word, or text

92
382/288

Determining center of gravity or moment

161
382/291

Determining the position of an object

553
382/292

Where the object is a character, word, or text

73
382/302

Multilayered image transformations

169
382/304

Parallel processing

213
382/303

Pipeline processing

139
382/282

Selecting a portion of an image

520
382/283

Using a mask

194
382/277

Transforming each dimension separately

93
382/281

Walsh, hough, or hadamard transform

110
382/155

Learning systems

142
382/156

Neural networks

265
382/157

Network learning techniques (e.g., back propagation)

117
382/158

Network structures

86
382/159

Trainable classifiers or pattern recognizers (e.g., adaline, perceptron)

372
382/161

Alphanumerics

68
382/160

Generating a standard by statistical analysis

67
382/325

Miscellaneous

34
382/181

Pattern recognition

640
382/224

Classification

641
382/225

Cluster analysis

276
382/226

Sequential decision process (e.g., decision tree structure)

200
382/227

With a multilevel classifier

109
382/228

Statistical decision process

288
382/229

Context analysis or word recognition (e.g., character string)

313
382/231

Checking spelling for recognition

30
382/230

Trigrams or digrams

31
382/190

Feature extraction

955
382/192

Feature counting

143
382/194

Counting individual pixels or pixel patterns

182
382/193

Counting intersections of scanning lines with pattern

37
382/206

Global features (e.g., measurements on image as a whole, such as area, projections, etc.)

118
382/195

Local or regional features

202
382/197

Directional codes and vectors (e.g., freeman chains, compasslike codes)

227
382/198

Extracted from alphanumeric characters

64
382/202

Linear stroke analysis (e.g., limited to straight lines)

172
382/205

Local neighborhood operations (e.g., 3x3 kernel, window, or matrix operator)

320
382/199

Pattern boundary and edge measurements

1186
382/200

Measurements made on alphanumeric characters

59
382/201

Point features (e.g., spatial coordinate descriptors)

143
382/203

Shape and form analysis

612
382/204

Topological properties (e.g., number of holes in a pattern, connectivity, etc.)

106
382/196

Slice codes

27
382/191

Multispectral features (e.g., frequency, phase)

185
382/207

Waveform analysis

76
382/208

With a tapped delay line

6
382/185

Ideographic characters (e.g., japanese or chinese)

140
382/182

Limited to specially coded, human-readable characters

121
382/183

Characters formed entirely of parallel bars (e.g., cmc-7)

51
382/184

With separate timing or alignment marks

25
382/187

On-line recognition of handwritten characters

602
382/189

With a display

189
382/188

Writing on ordinary surface (i.e., electronics are in pen)

151
382/209

Template matching (e.g., specific devices that determine the best match)

726
382/216

At multiple image orientations or positions

117
382/217

Electronic template

188
382/218

Comparator

661
382/220

Calculating weighted similarity or difference (e.g., don`t-care areas)

96
382/221

Counting difference pixels

39
382/222

Using an exclusive-or gate

27
382/219

Determining both similarities and differences

164
382/223

Resistor matrix

10
382/212

Nonholographic optical mask or transparency

42
382/213

Using both positive and negative masks or transparencies

23
382/214

With a display

19
382/210

Spatial filtering (e.g., holography)

170
382/211

With electrically controlled light modulator or filter

60
382/215

Using dynamic programming or elastic templates (e.g., warping)

78
382/186

Unconstrained handwriting (e.g., cursive)

272
 
 
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