[转载]lucene .NET 搜索图片 功能实现 - searchDM - 博客园

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[转载]lucene .NET 搜索图片 功能实现 – searchDM – 博客园.

关于搜索部分

 1想建立索引。构建jpg图片解析器,在索引时将jpg图片的exif信息及其文本信息如名称,存放路径,大小,日期等等加入索引!具体实现代码如下:

public void BulidIndex(string path)//创建索引

        {

            DateTime biStart = DateTime.Now;//创建索引开始

            DirectoryInfo[] ChildDirectory;//子目录集

            FileInfo[] files;//当前所有文件

            DirectoryInfo FatherDirectory = new DirectoryInfo(path); //当前目录

            ChildDirectory = FatherDirectory.GetDirectories(“*.*”); //得到子目录集

            files = FatherDirectory.GetFiles(“*.jpg”);//得到jpg文件集,可以进行操作

 

            Analyzer analyzer = new MyAnalyzer();//声明一个分词器,

IndexWriter indexWriter = new IndexWriter(“index”, analyzer, true);/*建立一个IndexWriter的实例,这个类是负责创建索引的,有很多构造函数,这里使用的是其中的一个。三个参数分别是:索引建立到哪个目录,用什么分词器,还有就是是否创建。如果是否创建为false,那么就是以增量的方式来创建。*/

            for (int i = 0; i < files.Length; i++)

            {

                string maker = “unkown”, explord = “unkown”,

                       iso = “unkown”, aperture = “unkown”, focalLength=“unkown”;

                Document doc = new Document();//声明一个document并将图片的名称,存放路径,大小,日期,

                                             相机制造商,曝光度,ISO,焦距,光圈值依次通过field 添加入document中。

 

                FindExifinfo(files[i].FullName, ref maker, ref explord, ref iso, ref focalLength, ref aperture);

                doc.Add(new Field(“Name”, files[i].Name, Field.Store.YES, Field.Index.TOKENIZED));

                doc.Add(new Field(“FullName”, files[i].FullName, Field.Store.YES, Field.Index.NO));

                doc.Add(new Field(“Length”, files[i].Length.ToString(), Field.Store.YES, Field.Index.NO));

                doc.Add(new Field(“LastWriteTime”, files[i].LastWriteTime.ToString(), Field.Store.YES, Field.Index.NO));

                doc.Add(new Field(“CreationTime”, files[i].CreationTime.ToString(), Field.Store.YES, Field.Index.NO));

                doc.Add(new Field(“Maker”, maker, Field.Store.YES, Field.Index.UN_TOKENIZED));

                doc.Add(new Field(“Explord”, explord, Field.Store.YES, Field.Index.UN_TOKENIZED));

                doc.Add(new Field(“ISO”, iso, Field.Store.YES, Field.Index.UN_TOKENIZED));

                doc.Add(new Field(“FocalLength”, focalLength, Field.Store.YES, Field.Index.UN_TOKENIZED));

                doc.Add(new Field(“Aperture”, aperture, Field.Store.YES, Field.Index.UN_TOKENIZED));

   indexWriter.AddDocument(doc); /*调用了AddDocument方法,在AddDocument方法中,先组织一个Docuement对象,然后把这个对象交给IndexWriter*/

 

            }

 

            indexWriter.Optimize();//Optimize优化索引           

indexWriter.Close();//最后关闭创建过程

            DateTime biStop = DateTime.Now;//创建索引结束

            this.status1.Text = 创建索引用时: + (biStop – biStart).TotalSeconds + ;

        }

2 执行搜索并获取结果:

 private void button1_Click(object sender, EventArgs e)

        {

 

            listView1.Items.Clear();

            Hits hits = null;

            Query query = null;

            Analyzer analyzer = new MyAnalyzer();

            DateTime Start = DateTime.Now;//索引开始时间

            string TEXT= this.tbkey.Text;

            BooleanQuery BQ = new BooleanQuery( );   //使用Boolean 查询  

            if (TEXT == “”)

                return;

            try

            {

              switch (this.comboBox1.SelectedIndex)

                {

                    case 0:

                        QueryParser parser = new QueryParser(“Name”, analyzer);

                        query = parser.Parse(tbkey.Text);

     

                        break;

                    case 1: //使用Boolean 查询含有某个关键词或其他关键词 should 表示“或”的关系

                        Term T2 = new Term(“Maker”, TEXT);

                        TermQuery q2 = new TermQuery(T2);

                        BQ.Add(q2, BooleanClause.Occur.SHOULD);

                        break;

                    case 2: //按照片的ISO速率进行搜索

                        Term T3 = new Term(“ISO”, TEXT);

                        TermQuery q3 = new TermQuery(T3);

                        BQ.Add(q3, BooleanClause.Occur.SHOULD);

                        break;

                    case 3: //按照片的 曝光度进行搜索

                        Term T4 = new Term(“Explord”, TEXT);

                        TermQuery q4 = new TermQuery(T4);

                        BQ.Add(q4, BooleanClause.Occur.SHOULD);

                        break;

                    case 4: //按照片的 焦距进行搜索

                        Term T5 = new Term(“FocalLength”, TEXT);

                        TermQuery q5 = new TermQuery(T5);

                        BQ.Add(q5, BooleanClause.Occur.SHOULD);

                        break;

                    case 5: //按照片的光圈进行搜索

                        Term T6 = new Term(“Aperture”, TEXT);

                        TermQuery q6 = new TermQuery(T6);

                        BQ.Add(q6, BooleanClause.Occur.SHOULD);

                        break;

                    default: break;

               

                }

            }

            catch (Exception)

            {

                throw;

            }

 

            IndexSearcher searcher = new IndexSearcher(“index”);

 

            if (searcher != null)

            {

                if( 0 == this.comboBox1.SelectedIndex) //使用if语句对搜索方式进行分类,如果是按照相片或图片名称进行搜索则进行关键字匹配查询

                    hits = searcher.Search(query);

                else

                    hits = searcher.Search(BQ); //如果不是按名称搜索,则进行严格匹配查询搜索!

 

                if (hits.Length() > 0)

                {

                    this.status1.Text = ” 共检索 + hits.Length().ToString() + 个对象;

                }

                this.imageList.Images.Clear();

                for (int i = 0; i < hits.Length(); i++)

                { //将搜索结果分别添加入listview和imagelist中,此过程比较耗时间!无奈!!!

                    Document doc = hits.Doc(i);

                    int itemNumber = this.listView1.Items.Count;

                    //string fullname = doc.Get(“FullName”);

                  string[] subItem = { doc.Get(“Name”), doc.Get(“FullName”), (Convert.ToInt32(doc.Get(“Length”)) >> 10).ToString() + “KB”, doc.Get(“LastWriteTime”) }; //使用右移 加快程序的执行速度!

                  this.imageList.Images.Add(doc.Get(“FullName”), Bitmap.FromFile(doc.Get(“FullName”)));

                  this.listView1.Items.Add(new ListViewItem(subItem, doc.Get(“FullName”)));//显示结果较慢的元凶!

                }

            }

            else

            {

                this.status1.Text = ” 共检索 0 个对象;

            }

 

            DateTime Stop = DateTime.Now;//索引完成时间

            this.status1.Text += 搜索用时: + (Stop – Start).TotalSeconds + ;

运行效果图:

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