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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

1486
382/154

3-d or stereo imaging analysis

1149
382/110

Animal, plant, or food inspection

148
382/128

Biomedical applications

1264
382/133

Cell analysis, classification, or counting

388
382/134

Blood cells

93
382/129

Dna or rna pattern reading

176
382/130

Producing difference image (e.g., angiography)

202
382/131

Tomography (e.g., cat scanner)

636
382/132

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

647
382/112

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

294
382/101

Mail processing

212
382/102

Zip code

38
382/141

Manufacturing or product inspection

733
382/142

Bottle inspection

72
382/143

Inspection of packaged consumer goods

76
382/145

Inspection of semiconductor device or printed circuit board

619
382/151

Alignment, registration, or position determination

495
382/148

At plural magnifications or resolutions

56
382/149

Fault or defect detection

529
382/150

Faulty soldering

88
382/147

Inspecting printed circuit boards

239
382/146

Measuring external leads

90
382/144

Mask inspection (e.g., semiconductor photomask)

379
382/152

Tool, workpiece, or mechanical component inspection

230
382/107

Motion or velocity measuring

495
382/115

Personnel identification (e.g., biometrics)

522
382/117

Using a characteristic of the eye

206
382/116

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

176
382/118

Using a facial characteristic

506
382/124

Using a fingerprint

713
382/125

Extracting minutia such as ridge endings and bifurcations

227
382/126

With a guiding mechanism for positioning finger

105
382/127

With a prism

121
382/119

Using a signature

150
382/123

Sensing geometrical properties

38
382/121

Sensing pressure only

34
382/120

Sensing pressure together with speed or acceleration

22
382/122

Sensing speed or acceleration only

27
382/106

Range or distance measuring

235
382/114

Reading aids for the visually impaired

38
382/137

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

169
382/139

Reading micr data

91
382/140

Including an optical imager or reader

58
382/138

Reading monetary amount

50
382/136

Reading coins

26
382/113

Reading maps, graphs, drawings, or schematics

118
382/135

Reading paper currency

330
382/153

Robotics

167
382/109

Seismic or geological sample measuring

62
382/108

Surface texture or roughness measuring

179
382/103

Target tracking or detecting

980
382/111

Textiles or clothing

93
382/104

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

329
382/105

License plate

30
382/162

Color image processing

1114
382/167

Color correction

1299
382/166

Compression of color images

474
382/163

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

100
382/164

Image segmentation using color

367
382/165

Pattern recognition or classification using color

570
382/309

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

217
382/310

Correcting alphanumeric recognition errors

94
382/311

Including operator interaction

135
382/168

Histogram processing

407
382/171

For segmenting an image

231
382/172

For setting a threshold

217
382/169

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

247
382/170

With pattern recognition or classification

314
382/232

Image compression or coding

1782
382/239

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

913
382/242

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

201
382/237

Gray level to binary coding

296
382/233

Including details of decompression

872
382/236

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

1012
382/244

Lossless compression

204
382/247

Arithmetic coding

124
382/246

Huffman or variable-length coding

412
382/245

Run-length coding

365
382/234

Parallel coding architecture

146
382/241

Polygonal approximation

97
382/238

Predictive coding

596
382/240

Pyramid, hierarchy, or tree structure

722
382/251

Quantization

624
382/252

Error diffusion or dispersion

300
382/253

Vector quantization

199
382/243

Shape, icon, or feature-based compression

435
382/235

Substantial processing of image in compressed form

289
382/248

Transform coding

583
382/250

Discrete cosine or sine transform

555
382/249

Fractal

74
382/254

Image enhancement or restoration

767
382/275

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

925
382/266

Edge or contour enhancement

744
382/268

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

193
382/267

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

63
382/269

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

217
382/255

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

176
382/260

Image filter

754
382/261

Adaptive filter

318
382/263

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

259
382/264

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

387
382/262

Median filter

104
382/265

Recursive filter

72
382/274

Intensity, brightness, contrast, or shading correction

1033
382/256

Object boundary expansion or contraction

98
382/257

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

161
382/258

Line thinning or thickening

132
382/259

Skeletonizing

70
382/270

Variable threshold, gain, or slice level

441
382/272

Based on a local average, mean, or median

224
382/273

Based on peak levels

137
382/271

Based on the results of a count

70
382/173

Image segmentation

883
382/176

Distinguishing text from other regions

462
382/180

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

207
382/177

Segmenting individual characters or words

237
382/179

Segmenting hand-printed characters

70
382/178

Separating touching or overlapping characters

97
382/175

Separating document regions using preprinted guides or markings

177
382/174

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

138
382/312

Image sensing

453
382/316

Curve tracer

49
382/313

Hand-held

306
382/315

Sensing mechanism in platen

89
382/314

Sensing mechanism in stylus

131
382/320

Magnetic

70
382/318

Multiple scanning

190
382/319

Prescanning

82
382/321

Optical (e.g., ocr)

284
382/324

Full retina

63
382/323

Single line

83
382/322

Single spot

23
382/317

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

232
382/276

Image transformation or preprocessing

526
382/293

Changing the image coordinates

320
382/294

Registering or aligning multiple images to one another

620
382/298

To change the scale or size of an image

692
382/299

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

587
382/300

Interpolation

515
382/301

Where the image is an alphanumeric character

40
382/295

To position or translate an image

205
382/296

To rotate an image

335
382/297

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

132
382/284

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

672
382/279

Convolution

136
382/278

Correlation

374
382/280

Fourier transform

273
382/307

General purpose image processor

108
382/308

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

168
382/305

Image storage or retrieval

776
382/306

Using identification indicia on document

236
382/285

Mapping 2-d image onto a 3-d surface

254
382/286

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

355
382/287

Detecting alignment marks

147
382/289

Determining amount an image is rotated or skewed

260
382/290

Where the image is a character, word, or text

81
382/288

Determining center of gravity or moment

152
382/291

Determining the position of an object

488
382/292

Where the object is a character, word, or text

66
382/302

Multilayered image transformations

148
382/304

Parallel processing

198
382/303

Pipeline processing

125
382/282

Selecting a portion of an image

443
382/283

Using a mask

174
382/277

Transforming each dimension separately

87
382/281

Walsh, hough, or hadamard transform

98
382/155

Learning systems

120
382/156

Neural networks

242
382/157

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

111
382/158

Network structures

82
382/159

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

313
382/161

Alphanumerics

65
382/160

Generating a standard by statistical analysis

61
382/325

Miscellaneous

29
382/181

Pattern recognition

509
382/224

Classification

502
382/225

Cluster analysis

230
382/226

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

182
382/227

With a multilevel classifier

100
382/228

Statistical decision process

264
382/229

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

274
382/231

Checking spelling for recognition

28
382/230

Trigrams or digrams

26
382/190

Feature extraction

778
382/192

Feature counting

129
382/194

Counting individual pixels or pixel patterns

162
382/193

Counting intersections of scanning lines with pattern

32
382/206

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

110
382/195

Local or regional features

172
382/197

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

220
382/198

Extracted from alphanumeric characters

62
382/202

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

161
382/205

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

297
382/199

Pattern boundary and edge measurements

1065
382/200

Measurements made on alphanumeric characters

49
382/201

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

128
382/203

Shape and form analysis

543
382/204

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

100
382/196

Slice codes

27
382/191

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

160
382/207

Waveform analysis

71
382/208

With a tapped delay line

6
382/185

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

129
382/182

Limited to specially coded, human-readable characters

98
382/183

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

45
382/184

With separate timing or alignment marks

21
382/187

On-line recognition of handwritten characters

527
382/189

With a display

172
382/188

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

125
382/209

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

629
382/216

At multiple image orientations or positions

105
382/217

Electronic template

163
382/218

Comparator

565
382/220

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

86
382/221

Counting difference pixels

32
382/222

Using an exclusive-or gate

26
382/219

Determining both similarities and differences

140
382/223

Resistor matrix

8
382/212

Nonholographic optical mask or transparency

37
382/213

Using both positive and negative masks or transparencies

22
382/214

With a display

19
382/210

Spatial filtering (e.g., holography)

160
382/211

With electrically controlled light modulator or filter

58
382/215

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

69
382/186

Unconstrained handwriting (e.g., cursive)

215
 
 
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