macos – Grayscale nightshift – Ask Different

macos – Grayscale nightshift – Ask Different

Can you manipulate and colorize this image to show more detail than the original grayscale image?

I’ve run out of ideas. Nothing seems to bring out detail. It’s a rather interesting image …

cuba = WebImage[""];
cuba1 = ImageData[ImageTake[cuba, {21, 570}, {75, 725}]][[All, All, 1]];
cuba2 = Image[cuba1]

Grayscale Receives $ 350 Million ETH in February

Grayscale purchased eth worth $ 350 million in the past two weeks. They announced that 87,749 Ethereum was purchased in four days from February 8-11.
What do you think about Grayscale company increasing its ETH investments?

color correction – Converting RGB to Grayscale by reference

There is such a problem.

There is shooting on a color camera with a ColorChecker. And there is shooting on another, grayscale camera with the same color checker. Is it possible to somehow convert the first RGB image to the second (Grayscale) based on the ColorChecker?
I found a tutorial on how to do this in 3D Lut Creator, but it seems that the result is not completely accurate there.
How else can you do this?

❕NEWS – Grayscale Receives 10000 Bitcoins in 3 Days | NewProxyLists

According to Bybt data, Grayscale company received approximately 10 thousand Bitcoins in 3 days.
According to the data, purchases and orders are as follows:
January 14 — 2170 units
January 15 — 2610 units
January 16 — 5130 units

What do you think about these purchases of the big corporate firm?

image – Edge detection in grayscale

I would like to identify the white spots in a greyscale image and calculate the area among other things.

enter image description here

EdgeDetect throws out something a little strange.

I have tried to identify the white spots with:

markers = MaxDetect[GaussianFilter[img01, 60], Padding -> 1];

HighlightImage[img01, markers, Method -> {"DiskMarkers", 5}]

enter image description here

Is there a way to find the edge and calculate the area?

I would also like to scale it up to a larger picture with many spots, which seems to bring a lot of problems


Converting image intensity values to a certain range of grayscale values

I have a large set of photos scanned by an overhead scanner and they need to be microfilmed. However, for microfilming issues those photos ought to have a certain range of absolute grayscale values. Can I achieve something like that with Photoshop as a batch process? Thanks in advance.

❕NEWS – Grayscale investments hold half a million bitcoin! | NewProxyLists

As we all know, the market supply and the amount of bitcoin is increasing every day with new mining activities and new bitcoin being added to the blockchain. The company Grayscale investments hold a half a million bitcoin, which equates to roughly 8.3 billion dollars. This is a huge investment and a huge profit as well if you look at the increase in bitcoin value that we have seen lately.

According to a recent article that was posted online, this amount of bitcoin is equal to around 2.69% of the bitcoin that is remaining to go in circulation. However, there are some bitcoins that are in wallets that have been forgotten about and those that are in sites that have closed down or that have had a problem in blockchain and have been lost, and so if we account for the fact that close to 3.7 million bitcoin have been lost already, Grayscale now holds close to 3.37% of the remaining bitcoin supply.

This is an incredible amount of bitcoin and definitely a game changer in the future profits and prices of bitcoin if we consider this company as a major whale that could impact the market greatly. What do you guys think?

Are grayscale buttons with icons usable and effective?

I’ll answer your question with a question. Given the standard that iconic labels should have text tooltips, why isn’t there a standard that text labels should have graphic tooltips?

The main reason: For nearly all cases, text labels are sufficient by themselves and an icon wouldn’t improve anything. Iconic labels, in contrast, tend to be inadequate by themselves. So, yes, Gmail is harming discoverability. It’s not acceptable for users to grope a UI with the mouse to read what each command does. Users should just be able to read it. That Spam icon is particularly atrocious. I’d expect it means “flag this letter as important” – just the opposite of what is does. Apps should have good information hierarchy, but there are better ways to do that than using undecipherable symbols for minor or advanced commands (e.g., size, weight, color).

The alternative to hiding non-applicable commands is to disable them (I don’t know what Gmail used to do). The decision to hide versus disable can be complicated, but to summarize, you should disable if an action is not currently available, but the user can do something to make it available (e.g., change a selection), so, offhand, I think Gmail should use disabling, not hiding. The problem with hiding is that users may conclude the command is never available – that the feature is simply not supported by the app (if they failed to notice it when it was visible). It can also, as you note, make it harder to find the non-hidden controls if they move around to fill empty space created by hiding controls.

So why are designs converging to this inferior design language? IMO, fashion. To get that trendy mobile-look on your desktop. With limited screen space, mobile apps are more likely to use hiding and icons to squeeze everything in. Now desktop web sites are aping the mobile look to be cool like mobile apps, ignoring that the rules change when screens get larger. I see no excuse for using so much gray on gray, except that gray is the new black. It’s especially bad on mobile apps, which may be used in sunlight and you need as much contrast as possible. Fashion-chasing use of gray for active controls also undermines its use to mean disabled, so that may be another reason Gmail chooses to hide controls. It’s about trying to be simple-looking, not simple to use.

Arguably, Gmail and others may be trying to be consistent with their mobile apps (I’d bet Gmail mobile app users are also Gmail web app users), but they could’ve done better. They could’ve used both the Spam icon and the word “Spam” for the desktop version to maintain compatibility with the mobile app while providing better discoverability for the desktop – and better education on the icon’s meaning when the user transitions to mobile. Actually, “Spam” is such a short word, I can’t see any reason not to use it on the mobile version instead of the icon, so we’re back to being simple-looking, not simple to use.

led lighting – Camera’s IR Filter for monochrome grayscale image sensor

We are looking for an efficient camera to use for our machine learning application (body tracking and emotion detection). Through my readings, it seems using an IR filter for our camera is quite important. However, most machine learning specialized cameras are grayscale cameras and don’t have IR Filter. We need to add IR LEDs for our camera in order to enable the night vision features.
It seems confusing for me, Am I missing anything or it doesn’t make sense to have IR cut filter and IR LEDs when using a grayscale image sensor? Would you add your thoughts and recommend any useful, and simple articles that explains the same subject?


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