本文整理汇总了Java中net.semanticmetadata.lire.imageanalysis.sift.Feature类的典型用法代码示例。如果您正苦于以下问题：Java Feature类的具体用法？Java Feature怎么用？Java Feature使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
Feature类属于net.semanticmetadata.lire.imageanalysis.sift包，在下文中一共展示了Feature类的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: createDescriptorFields
import net.semanticmetadata.lire.imageanalysis.sift.Feature; //导入依赖的package包/类
@Override
public Field[] createDescriptorFields(BufferedImage image) {
Field[] result = null;
try {
// extract features from image:
List<Feature> features = extractor.computeSiftFeatures(image);
result = new Field[features.size()];
int count = 0;
// create new document:
for (Iterator<Feature> fit = features.iterator(); fit.hasNext(); ) {
Feature f = fit.next();
result[count] = new StoredField(DocumentBuilder.FIELD_NAME_SIFT, f.getByteArrayRepresentation());
count++;
}
} catch (IOException e) {
logger.severe(e.getMessage());
}
return result;
}
示例2: createDocument
import net.semanticmetadata.lire.imageanalysis.sift.Feature; //导入依赖的package包/类
public Document createDocument(BufferedImage image, String identifier) {
Document doc = null;
try {
// extract features from image:
List<Feature> features = extractor.computeSiftFeatures(image);
// create new document:
doc = new Document();
for (Iterator<Feature> fit = features.iterator(); fit.hasNext(); ) {
Feature f = fit.next();
// add each feature to the document:
doc.add(new StoredField(DocumentBuilder.FIELD_NAME_SIFT, f.getByteArrayRepresentation()));
}
if (identifier != null)
doc.add(new StringField(DocumentBuilder.FIELD_NAME_IDENTIFIER, identifier, Field.Store.YES));
} catch (IOException e) {
logger.severe(e.getMessage());
}
return doc;
}
示例3: getFeatureInstance
import net.semanticmetadata.lire.imageanalysis.sift.Feature; //导入依赖的package包/类
@Override
protected LireFeature getFeatureInstance() {
return new Feature();
}