Imagej Mac Download

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1. Imagej Download Mac High Sierra
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1. OS X Installation To install ImageJ, download the Mac OS X.tar.gz file and double-click on it to extract the 'ImageJ (OS X)' folder. To run ImageJ, open this folder and double-click on the ImageJ icon. Note: Apple has a lot more work to do with OS X Java. ImageJ runs more reliably and a lot faster in the Classic environment using OS 9.1 Java.
2. Jun 25, 2017  ImageJ is a powerful Java-based tool with a range of advanced image processing features. At its simplest, you can use the program to optimise and edit most digital images. ImageJ will open most standard formats, including JPG, PNG, TIFF, BMP and GIF; you can then crop, resize, flip or rotate the picture, and there are all the usual tools to.
3. Download imagej mac for free. Design & Photo downloads - ImageJ by Wayne Rasband and many more programs are available for instant and free download.

• Special note for Windows installations
  

Go to the ImageJ Download page, and download and install the application for your operating system. Click the ImageJ Download page and it will open in a new window. Click the link that appears directly below the name of your computer's operating system (e.g. Mac, Linux, Windows). ImageJ for Mac OS X 1.52n - An intersting Java based image processing application - Top4Download.com offers free software downloads for Windows, Mac, iOS and Android computers and mobile devices. Visit for free, full and secured software’s.

• When values represent something other than brightness
  

Intro to ImageJ

ImageJ is free public domain image processing software developed at the National Institutes of Health. Its power and flexibility allow it to be used as a research tool by scientists in many disciplines, from medicine to astronomy. Installers are available for Windows, MacOS and OSX, and Linux.

You can use ImageJ to display, annotate, edit, calibrate, measure, analyze, process, print, and save raster (row and column) image data. It reads most common raster image formats as well as raw data files in text format, such as from spreadsheets. ImageJ also supports stacks - multiple images in a single window - for animation and analysis.

Click on the movie to start playing.

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Download and Install ImageJ

Go to the ImageJ Download page , and download and install the application for your operating system.

Click the ImageJ Download page and it will open in a new window. Click the link that appears directly below the name of your computer's operating system (e.g. Mac, Linux, Windows). This action will transfer a compressed file of the software to your computer. Your browser should automatically expand the file, creating an ImageJ folder on your computer's hard drive.

For more details, or if you have problems running the application, access ImageJ's Installation Instructions then select your operating system.

Update ImageJ Software

Double-click the ImageJ icon to launch the application and choose Help > Update ImageJ... A window will appear, telling you the version you are currently running and a list of upgrade versions. Choose the version you want to upgrade to (usually the most recent, or default version) and click OK. After the update downloads, re-launch ImageJ to run the new version.

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Help with Updating ImageJ: Some users have reported problems updating ImageJ in certain versions of Windows. This is causing some of the tools and instructions (for example, setting the Threshold level for the Wand tool) to not function properly.

The quickest way to fix this is to reinstall ImageJ to the Documents directory. Alternately, you can manually update ImageJ with the instructions below:

1. Right-click the link at right to download the ij.jar file. Be sure to save it as simply ij.jar. ij.jar(Jar Archive 1.4MB Feb8 10)
2. When prompted where to save the file, navigate to the ImageJ folder and save the file there. Replace the existing ij.jar file.
3. For most installations, the ImageJ folder will be in the Program Files directory on your hard drive. The path to the ImageJ folder is c:Program FilesImageJ.
4. If you are still having difficulties, please email Larry Kendall directly at larrykendall@verizon.net.

The ImageJ Toolbar

The ImageJ toolbar contains both built-in and customized tools for manipulating images. Most of the tools are similar to those used in other graphics programs. You will learn about the tools as you use them.

Download Images

1. If you haven't already created a folder (directory) on your computer for your Week 2 files, make one now.
2. Click the grayscale thumbnail image below to open a full-size version in a separate window. Then right-click (Win) or control-click (Mac) the full-size image to choose File > Save Image As.. and save it to your Week 2 folder. Close the image window after you have downloaded its file.
• lake_mead_2004_grayscale.jpg
3. Then repeat the procedure for the color image of Lake Mead.
• lake_mead_2004_color.jpg

Explore a Digital Image

In ImageJ, choose File > Open.., navigate to your Week 2 folder, and open the lake_mead_2004_grayscale.jpg file. This is a grayscale satellite image of the area around Lake Mead, Nevada, taken by one of the Landsat satellites.

Zoom in and out

• Using the Magnifying glass tool , click once anywhere on the image. Keep clicking on the image, counting your clicks and watching how both the image and the image window title bar change as you zoom in.
• What is the maximum magnification of the image, and how many clicks does it take to get there?
It takes 10 clicks to reach the maximum magnification of 32x (3200%).



1. The lake_mead_2004_grayscale.jpg image without magnification.
   


2. The lake_mead_2004_grayscale.jpg image after four clicks of the magnifying glass tool or at 400% magnification.
   


3. The lake_mead_2004_grayscale.jpg image at full magnification.
   

• To zoom out, hold down the Alt (Win) or Option (Mac) key while you click on the image with the Magnifying glass tool . You can keep zooming out beyond 100%, all the way down to about 3%. This may be useful when you are working with very large images and you need to see the entire image on screen at one time.
• To quickly return to 100% from any magnification, double-click the Magnifying glass tool on the toolbar.

Scroll to move around

When you're zoomed in, how do you move around an image?

• Zoom in to about 800% magnification.
• Use the Scroll tool to drag the image in the window in any direction. Because it's often useful to scroll the image while you're using other tools, you can bring up the scroll tool at any time by pressing the space bar. Try it now — select a different tool, move your cursor back over the image, hold down the space bar, and drag the image around in the window.

Investigate Pixel Data

By the numbers - pixel values and coordinates

• Zoom in until you can easily see the individual pixels.
• Move your cursor around the image and watch the numbers on the ImageJ status bar (just below the toolbar in the ImageJ window). The x and y values represent the x (horizontal) and y (vertical) coordinates. In math class, the origin (0,0) is usually in the lower left corner of a graph. Where is the origin — coordinates (0,0) — of a digital image?
The image origin (0,0) is in the upper left corner.

• To the right of the x and y coordinates on the status bar, it says value = and a number. Move your cursor around the image some more and see if you can tell what the value represents.
• Zoom back out to 100% and move your cursor over a dark region of the image, then over a light region, watching the value change.
In this image, the value represents the brightness measured by the detector on the satellite at that particular location. In general, though, pixel values can represent anything that can be expressed as a number and organized in rows and columns.

• Mentally fill in the blanks of this statement with appropriate words: 'In this image, light pixels have ______ values and dark pixels have ______ values.'
In this image, light pixels have higher values and dark pixels have lower values.

• What's the lowest pixel value you can find in the image? What's the highest?
• Obviously, your answers will vary depending on which pixels you looked at. As it turns out, the lowest pixel value in the image is 0 (black) and the highest is 255 (white). This gives a range of 256 possible values - although there's no guarantee that a particular image will contain any pixels of a particular value.
• The number 256 is significant, because it represents the number of possible values of an 8-bit binary number (from 00000000 to 11111111).
• Fortunately, you don't have to worry about binary numbers, but computers use them for all their number crunching and math wizardry. All you need to know is that when an image is described as an '8-bit' image, its pixels can have any of 256 possible values.

An important concept here is that storing all this information in an image file on your computer is much more efficient than it seems. The computer doesn't need to store x- and y-coordinates — just the pixel values, in one long string, plus the width and height of the image. The coordinates are just information about the pixel under the cursor — its column and row number — that the software reports to the user.

To reconstruct the image correctly, the computer just needs to 'know' the number of columns and rows in the image. This kind of grid of rows and columns is also called a raster, which is why this type of digital image is also called a raster image and why ImageJ is called a raster image processor.

Play With Color

Lookup tables

So far, you know that a digital image is a string of numbers arranged in rows and columns. How does the computer know what each number should look like when it displays that pixel on your screen? It's pretty simple, really. In addition to a string of numbers, the computer has a 'secret decoder ring' called a Lookup Table that it uses in paint-by-number fashion. In a very simple image with only four possible values, the lookup table might look like 0 = black, 1 = blue, 2 = red, 3 = white. In an 8-bit image, the 256 possible values correspond to 256 colors. (Okay, we know what you're thinking, but black, white and all those grays ARE colors!) The lookup table can be stored in the file with the data, or you can control it using the software that's displaying the data.

• Choose Image > Lookup Tables > Fire. Your image should now look very different. Try out several other lookup tables and see how they affect the appearance of the image.

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This image is an 8-bit image. Each pixel is represented in the computer's memory by an 8-bit binary number, representing 256 possible values from 0 to 254. Another term for the number of binary bits used to describe the value of a pixel is bit depth. You can think of the bit depth as the 3rd dimension of an image (width and height are the other two).

• Close the lake_mead_2004_grayscale.jpg image.

Color images

• Navigate to your Week 2 folder and open the lake_mead_2004_color.jpg file. This is a color version of the image you have been working with.
• Briefly explore the image by zooming, scrolling, and looking at coordinates and pixel values. Do you notice anything different about those pixel values?
Yes, in this color image there are 3 values (numbers) for each pixel. These represent three separate color channels — Red, Green, and Blue (RGB). Think of the three numbers as a recipe. Each value represents the amount of its corresponding color. In other words, a pixel with color values of 192,125,75 has 192 parts of red light, 125 units of green light, and 76 units of blue light (out of a maximum 255 parts) - giving that pixel a brownish orange color.

RGB color images like this don't need lookup tables, because each pixel in the image has a recipe for how it should look. However, since each pixel now requires three 8-bit numbers rather than just one, this image requires three times the computer memory as the grayscale image.

• Close the color image.

Explore More If You Have Time

When values represent something other than brightness

• Right-click (Win) or control-click (Mac) the link below and download the image file to your Week 2 folder.
Lake Mead DEM (8-bit)(TIFF 1.4MB Jan30 10)

• Open the lake_mead_dem_8-bit.tif file.
This image is a Digital Elevation Model (DEM) of the Lake Mead area. Instead of the brightness, each pixel value in the image represents the elevation at that location. The image has been calibrated so that the pixel values from 0 to 255 are converted to elevation (in meters). Mouse around the image and look at the pixel (elevation) values.
• Can you find the elevation of the lake itself?

The elevation of the lake is about 325 meters above sea level. The calibrated value is shown on the ImageJ status bar, followed by the original 8-bit value in parentheses.



• Apply different lookup tables to the image (Image > Lookup Tables).

This is how it looks with the 32_Colors lookup table.

• Use Analyze > Surface Plot to re-create a 3-D view of the scene. Choose Analyze > Surface Plot. Check Draw Wireframe, Shade, Draw Axis, and Smooth in the Surface Plotter dialog box.
  
• Use one of the line selection tools to select a path through the scene. Then choose Analyze > Plot Profile to create a profile plot along the path.
• Close the lake_mead_dem_8-bit.tif image.

Resources

• To learn more about using ImageJ, refer to the ImageJ Documentation pages.
• Here is the NASA Earth Observatory article where the Lake Mead image came from.

Movies on this Page

How to download movies

• Click the link to go to the SERC media library listing for the movie. The record will open in a new window.
• On the SERC media library page, right-click (Win) or control-click (Mac) the link (below the movie on the Flash version pages) to download the movie file to your hard drive.

Look below the movie window for the file download link.

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Flash video versions

Download these versions to play on your computer. You'll need an appropriate movie player to view the file, such as Flash Player, Real Player (Mac / Win), or Adobe Media Player.

iPod versions

Download these version to play on your iPod or iPhone.

Imagej Download Mac Mojave