LIBMAS/Base/DedicatedAnalysis/GrainSize/MethodOfAssessment.cs

using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.Drawing;
using System.Linq;

namespace PaintDotNet.Base.DedicatedAnalysis.GrainSize
{
    /// <summary>
    /// 评定方法
    /// </summary>
    public abstract class MethodOfAssessment
    {
        /// <summary>
        /// 所属的标准
        /// </summary>
        public GrainSizeStandard grainSizeStandard;

        /// <summary>
        /// 标准的方法类型（0 截点法/截距法， 1 面积法）
        /// </summary>
        public int grainMethodType;

        /// <summary>
        /// 数据库的name(报告模板)
        /// </summary>
        public string resourcesName;

        /// <summary>
        /// 辅助线配置文件名称
        /// </summary>
        /// <returns></returns>
        public string guideXmlName;


        // 标准的结果模型


        // 试样总检验面积
        // 视场面积
        // 放大倍数

        ///// <summary>
        ///// 产生报告
        ///// </summary>
        //public AnalysisResult generateReport(Mat originalImage, Mat binary, List<RectangleF> rectangles,int kLevel,int viewNum)
        //{

        //    AnalysisResult analysisResult = GetAnalysisResult();
        //    analysisResult.inclusionsStandard = this.inclusionsStandard;
        //    analysisResult.mat = originalImage;
        //    analysisResult.inclusions = inclusions;
        //    analysisResult.rectangles = rectangles;
        //    analysisResult.kLevel = kLevel;
        //    analysisResult.viewNum = viewNum;

        //    analysisResult.buildResultBody();

        //    binary.Dispose();

        //    return analysisResult;
        //}

        //public abstract AnalysisResult GetAnalysisResult();

        //public abstract List<string> getResultConclusionHead();

        //public abstract List<string> buildResultConclusion(List<AnalysisResult> analysisResults);

        ///// <summary>
        ///// 分析结果
        ///// </summary>
        //public abstract class AnalysisResult
        //{
        //    /// <summary>
        //    /// 所属标准
        //    /// </summary>
        //    public InclusionsStandard inclusionsStandard;
        //    /// <summary>
        //    /// 所属图片
        //    /// </summary>
        //    public Mat mat;
        //    /// <summary>
        //    /// 夹杂物列表
        //    /// </summary>
        //    public List<Inclusion> inclusions;

        //    public List<RectangleF> rectangles;
        //    public int viewNum;
        //    public List<string> publicResultHead = new List<string> {"图片","视场"};
        //    public Dictionary<FieldOfView, List<string>> resultBody = new Dictionary<FieldOfView, List<string>>();

        //    /// <summary>
        //    /// K法级别
        //    /// </summary>
        //    public int kLevel;

        //    /// <summary>
        //    /// 视场模型
        //    /// </summary>
        //    public class FieldOfView
        //    {
        //        public string name;
        //        public RectangleF rectangle;
        //        public List<Inclusion> inclusions;

        //        /// <summary>
        //        /// 过滤有效的夹杂物
        //        /// </summary>
        //        /// <returns></returns>
        //        public List<Inclusion> effectiveFilteringInclusion(List<Inclusion> inclusions)
        //        {
        //            List<Inclusion> inclusions1 = new List<Inclusion>();
        //            foreach (var item in inclusions)
        //            {
        //                if (this.rectangle.Contains(item.rectProfile) || this.rectangle.IntersectsWith(item.rectProfile))
        //                {
        //                    inclusions1.Add(item);
        //                }
        //            }
        //            return inclusions1;
        //        }
        //    }

        //    public List<string> getResultHead()
        //    {
        //        List<string> resultHead = new List<string>();
        //        resultHead.AddRange(publicResultHead);
        //        resultHead.AddRange(getDedicatedResultHead());
        //        return resultHead;
        //    }

        //    public abstract List<string> getDedicatedResultHead();

        //    public abstract void buildResultBody();

        //    /// <summary>
        //    /// 夹杂物评级
        //    /// </summary>
        //    /// 评级图暂已硬编码形式实现
        //    public abstract double ratingInclusion(string type, double value);
        //}
    }
}