1
00:00:09,750 --> 00:00:17,900
I don't know if this will be considered under the immediate thresholding, so this the basic equation

2
00:00:18,120 --> 00:00:25,000
for the thresholding is equal to minus one autograph, not equal to that case.

3
00:00:25,020 --> 00:00:29,250
Some threshold value as equal to zero are less than.

4
00:00:31,900 --> 00:00:32,350
So.

5
00:00:33,930 --> 00:00:35,650
They are supposed equal to 10.

6
00:00:36,330 --> 00:00:45,930
What happens is that when the ballots are thrown into the fire, all these ballots will be forwarded

7
00:00:45,930 --> 00:00:52,040
to be for the fight, which is the white color and the pixel values which had been written.

8
00:00:52,770 --> 00:00:54,610
These are considered to be black.

9
00:00:55,140 --> 00:00:56,700
That would be zero.

10
00:00:57,870 --> 00:00:59,290
So this is some threshold.

11
00:01:00,000 --> 00:01:03,360
This is a threshold level where you indicate.

12
00:01:06,950 --> 00:01:11,900
Something that says White and the other says to be black.

13
00:01:13,210 --> 00:01:15,530
So now we should consider the implementation.

14
00:01:16,420 --> 00:01:25,940
So this is the basic crossing lots, and I guess rather than the image that to it out at the post block,

15
00:01:26,080 --> 00:01:32,810
also on second degree to try to fix nondairy going to the implementation.

16
00:01:34,330 --> 00:01:41,690
So we have the equation and the minus one, if AALDEF not equal and zero if I'd left it.

17
00:01:42,340 --> 00:01:48,400
As we have this type of condition, we can choose the replacement block.

18
00:01:50,620 --> 00:01:54,110
Because we need to implement great amount equal to function.

19
00:01:54,640 --> 00:01:57,760
So first, let's go with a relational block.

20
00:02:04,440 --> 00:02:09,780
The comparison of gravity required to we do have.

21
00:02:11,930 --> 00:02:14,650
Oleander output must be zero.

22
00:02:28,600 --> 00:02:33,970
We need to implement the key, the constant let the pressure make constant block.

23
00:02:38,710 --> 00:02:42,520
That is for us to consider it is under.

24
00:02:53,360 --> 00:03:01,470
Please be cautious while keeping the sound would be there in the first initializing the medlar and then

25
00:03:01,490 --> 00:03:04,130
you declare Stampeder in this.

26
00:03:11,430 --> 00:03:14,840
So these are and are greater than or equal.

27
00:03:15,510 --> 00:03:19,410
So men are not equal to the opportunity to be one.

28
00:03:20,930 --> 00:03:25,260
And this event is for us and there are less than a year or two to be zero.

29
00:03:25,760 --> 00:03:32,740
So when this kind of condition occurs like this one and zero, we need to select from those two.

30
00:03:33,440 --> 00:03:36,490
You can go by choosing a multiplexed luck.

31
00:03:43,870 --> 00:03:44,640
Two inputs.

32
00:03:45,640 --> 00:03:46,930
Or police use a different.

33
00:03:57,300 --> 00:03:58,740
So this is definitely.

34
00:04:00,380 --> 00:04:01,190
And Lieutenant.

35
00:04:04,080 --> 00:04:13,680
When I was a little one zero seven eight zero degrees are less than an hour less than the order must

36
00:04:13,680 --> 00:04:14,230
be zero.

37
00:04:15,090 --> 00:04:16,530
So constant.

38
00:04:34,090 --> 00:04:43,270
So this is you I thought it would be not so fun, but I never thought it must be one that are great

39
00:04:44,560 --> 00:04:48,850
and must be a minus one, which is to define our case.

40
00:04:51,080 --> 00:04:52,760
I would just copy and paste this from.

41
00:04:56,030 --> 00:04:58,580
Sure, to change the Constitution, to define.

42
00:05:15,920 --> 00:05:18,800
This is our implementation one second.

43
00:05:19,610 --> 00:05:25,600
So these are men and they're not equal to the output as well.

44
00:05:26,390 --> 00:05:35,660
So this is still out and the sequel to Defiant and then this is zero or part of the relationship we

45
00:05:35,660 --> 00:05:38,860
got zero is set up as equal to zero.

46
00:05:39,290 --> 00:05:39,770
So fine.

47
00:05:40,130 --> 00:05:40,860
Let us know.

48
00:05:40,880 --> 00:05:41,630
Run a small.

49
00:05:51,700 --> 00:05:52,190
So this.

50
00:05:54,350 --> 00:05:59,770
This is our input, you can only see the black and the white pixels.

51
00:06:05,510 --> 00:06:07,060
One of the black and the white pixels.

52
00:06:09,180 --> 00:06:18,260
Just you can see the threshold, it's like when the hair is gray, something that gray, not pure black.

53
00:06:18,470 --> 00:06:19,290
In this case.

54
00:06:21,370 --> 00:06:23,790
Just to be clear, we kept the threshold hundred.

55
00:06:25,280 --> 00:06:31,610
Maybe these values are less than Hunter, so these are all bred to be zero.

56
00:06:33,170 --> 00:06:35,990
And these are the latest ones.

57
00:06:37,060 --> 00:06:41,770
So we got the big sales values, so, OK, now that's.

58
00:06:43,230 --> 00:06:46,860
Increase our treasure value to top 20.

59
00:06:50,150 --> 00:06:51,200
I got to see.

60
00:07:03,010 --> 00:07:09,070
So this we got all the way, which means that we do not have any of any, which is less than 20.

61
00:07:11,260 --> 00:07:14,410
So we shall increase.

62
00:07:16,930 --> 00:07:17,530
70.

63
00:07:26,680 --> 00:07:27,060
See?

64
00:07:28,320 --> 00:07:30,580
A small black ones here.

65
00:07:33,100 --> 00:07:40,540
Yet in this way, you consider the threshold values we have made in computing matters like.

66
00:07:41,600 --> 00:07:47,570
The global thresholding method and the most popular one is entropy, basically, which is the Watsu

67
00:07:47,570 --> 00:07:57,440
method, and using that you can find what the threshold value and then you can keep the value in this

68
00:07:57,440 --> 00:07:59,300
place and you can get.

69
00:08:02,040 --> 00:08:03,420
That image.

70
00:08:06,370 --> 00:08:10,720
So to calibrate the nutritional value, you have fasting matlab.

71
00:08:11,910 --> 00:08:13,110
The great Trish.

72
00:08:33,330 --> 00:08:35,060
So would call for help.

73
00:08:36,610 --> 00:08:43,810
In the command window for the great threat, so is the global image threshold using two method is one

74
00:08:43,810 --> 00:08:45,280
of the most popular methods.

75
00:08:47,250 --> 00:08:49,140
So the level of greatness of flight.

76
00:08:55,340 --> 00:08:57,530
The intensity matched by that image.

77
00:08:59,950 --> 00:09:06,340
So the output is the level, which is the normal intensity value that lies in the range zero to one.

78
00:09:11,360 --> 00:09:21,320
So the level of dysfunction level is our threshold value diminishes the effectiveness of thresholding

79
00:09:21,320 --> 00:09:24,350
of input image, which is in the range 021.

80
00:09:24,980 --> 00:09:25,670
So this is.

81
00:09:27,310 --> 00:09:35,410
One of the ways you can calculate the threshold value for an equipment so you can try an example in

82
00:09:35,410 --> 00:09:36,220
the Matlab.

83
00:09:38,780 --> 00:09:48,030
Get out of here and then you can implement this model using the treasure and you can wait for an hour

84
00:09:48,980 --> 00:09:53,720
and you practice with some more examples, different values.

85
00:09:54,050 --> 00:09:54,590
Thank you.

