public static double NR_method(string algorithm, int[, ,] image, int height, int width)
{
switch (algorithm)
{
case "Tenengrad":
{
return(NR_algorithm.Tenengrad(image, height, width));
}
case "Brenner":
{
return(NR_algorithm.Brenner(image, height, width));
}
default:
{
if (SettingInfo.dllHelper.NR_methods.ContainsKey(algorithm))
{
object reflectInstance = Activator.CreateInstance(SettingInfo.dllHelper.NR_methods[algorithm]);
MethodInfo methodInfo = SettingInfo.dllHelper.NR_methods[algorithm].GetMethod("NR_method",
new Type[] { typeof(int[, , ]), typeof(int), typeof(int) });
return((double)methodInfo.Invoke(reflectInstance,
new object[] { image, height, width }));
}
return(-1);
}
}
}
private void CompareForm_Load(object sender, EventArgs e)
{
this.WindowState = FormWindowState.Maximized;
this.FormBorderStyle = FormBorderStyle.FixedSingle;
compare_image1.Width = compare_image1.Height = (int)(this.Width * image_size_rate);
compare_image2.Width = compare_image2.Height = (int)(this.Width * image_size_rate);
compare_image1.Location = new Point((int)(this.Width * 0.015), (int)(this.Height * 0.02));
compare_image2.Location = new Point((int)(this.Width * 0.515), (int)(this.Height * 0.02));
confirm.Location = new Point((int)(this.Width * 0.475), (int)(this.Height * 0.86));
double result1 = NR_algorithm.NR_method(
SettingInfo.imageCompare_NRmethod,
MainInfo.picInfo[MainInfo.path_name[id1]].rgb,
MainInfo.picInfo[MainInfo.path_name[id1]].height,
MainInfo.picInfo[MainInfo.path_name[id1]].width);
double result2 = NR_algorithm.NR_method(
SettingInfo.imageCompare_NRmethod,
MainInfo.picInfo[MainInfo.path_name[id2]].rgb,
MainInfo.picInfo[MainInfo.path_name[id2]].height,
MainInfo.picInfo[MainInfo.path_name[id2]].width);
int score1 = NR_algorithm.NR_grade(SettingInfo.imageCompare_NRmethod, result1);
int score2 = NR_algorithm.NR_grade(SettingInfo.imageCompare_NRmethod, result2);
picturePanel p1 = new picturePanel();
picturePanel p2 = new picturePanel();
compare_image1.Controls.Add(p1);
compare_image2.Controls.Add(p2);
p1.init(MainInfo.picInfo[MainInfo.path_name[id1]].image, "得分：" + score1.ToString());
p2.init(MainInfo.picInfo[MainInfo.path_name[id2]].image, "得分：" + score2.ToString());
p1.image_name.Height = 33;
p2.image_name.Height = 33;
p1.image_name.Font = new Font("微软雅黑", 18);
p2.image_name.Font = new Font("微软雅黑", 18);
}
public SortingResult()
{
InitializeComponent();
_path = null;
picNum = 0;
for (int i = 0; i < MainInfo.tot; i++)
{
if (MainInfo.selected[i])
{
picNum++;
}
}
progress = 0;
int id = 0;
Thread progressThread = new Thread(progress_thread);
progressThread.IsBackground = true;
progressThread.Start();
originArray = new SortObject[picNum];
sortedArray = new SortObject[picNum];
for (int i = 0; i < MainInfo.tot; i++)
{
if (MainInfo.selected[i])
{
double result = NR_algorithm.NR_method(
SettingInfo.imageSort_NRmethod,
MainInfo.picInfo[MainInfo.path_name[i]].rgb,
MainInfo.picInfo[MainInfo.path_name[i]].height,
MainInfo.picInfo[MainInfo.path_name[i]].width);
MainInfo.picInfo[MainInfo.path_name[i]].grade_none = NR_algorithm.NR_grade(SettingInfo.imageSort_NRmethod, result);
originArray[id] = new SortObject(MainInfo.picInfo[MainInfo.path_name[i]].grade_none, MainInfo.path_name[i], MainInfo.name[i]);
sortedArray[id++] = new SortObject(MainInfo.picInfo[MainInfo.path_name[i]].grade_none, MainInfo.path_name[i], MainInfo.name[i]);
}
progress = 1000 * id / picNum;
}
Array.Sort(sortedArray, new sortObjectComparer()); //图片排序调用
origin_e1 = new EventHandler(origin_item_double_click);
origin_e2 = new EventHandler(origin_pictureBox_double_click);
origin_e3 = new EventHandler(origin_label_double_click);
sorted_e1 = new EventHandler(sorted_item_double_click);
sorted_e2 = new EventHandler(sorted_pictureBox_double_click);
sorted_e3 = new EventHandler(sorted_label_double_click);
}
private void confirm_Click(object sender, EventArgs e)
{
Dispose();
int tot = 0;
for (int i = 0; i < MainInfo.tot; i++)
{
if (MainInfo.selected[i])
{
tot++;
}
}
int index = 0;
if (ratioButton.Checked)
{
SortObject[] sortedArray = new SortObject[tot];
for (int i = 0; i < MainInfo.tot; i++)
{
if (MainInfo.selected[i])
{
double result = NR_algorithm.NR_method(
SettingInfo.imageClear_NRmethod,
MainInfo.picInfo[MainInfo.path_name[i]].rgb,
MainInfo.picInfo[MainInfo.path_name[i]].height,
MainInfo.picInfo[MainInfo.path_name[i]].width);
MainInfo.picInfo[MainInfo.path_name[i]].grade_none = NR_algorithm.NR_grade(SettingInfo.imageClear_NRmethod, result);
sortedArray[index++] = new SortObject(MainInfo.picInfo[MainInfo.path_name[i]].grade_none, MainInfo.path_name[i], MainInfo.name[i]);
}
}
Array.Sort(sortedArray, new sortObjectComparer());
DeleteComfirm imageDeleteComfirmForm = new DeleteComfirm(clearingRatioBar.Value, mf, sortedArray);
imageDeleteComfirmForm.Show();
}
else
{
SortObject[] sortedArrayTemp = new SortObject[tot];
for (int i = 0; i < MainInfo.tot; i++)
{
if (MainInfo.selected[i])
{
double result = NR_algorithm.NR_method(SettingInfo.imageClear_NRmethod,
MainInfo.picInfo[MainInfo.path_name[i]].rgb,
MainInfo.picInfo[MainInfo.path_name[i]].height,
MainInfo.picInfo[MainInfo.path_name[i]].width);
MainInfo.picInfo[MainInfo.path_name[i]].grade_none = NR_algorithm.NR_grade(SettingInfo.imageClear_NRmethod, result);
if (MainInfo.picInfo[MainInfo.path_name[i]].grade_none <= threadsoldBar.Value)
{
sortedArrayTemp[index++] = new SortObject(MainInfo.picInfo[MainInfo.path_name[i]].grade_none, MainInfo.path_name[i], MainInfo.name[i]);
}
}
}
SortObject[] sortedArray = new SortObject[index];
for (int i = 0; i < index; i++)
{
sortedArray[i] = sortedArrayTemp[i];
}
Array.Sort(sortedArray, new sortObjectComparer());
DeleteComfirm imageDeleteComfirmForm = new DeleteComfirm(100, mf, sortedArray);
imageDeleteComfirmForm.Show();
}
}