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A dialog box is displayed with the following options: In other words, a threshold is set at the maximum value minus noise tolerance and the contiguous area around the maximum above the threshold is analyzed. For accepting a maximum, this area must not contain any point with a value higher at than the maximum. Only one maximum within this area is accepted. Finds maxima above the lower threshold only. The upper threshold of the image is ignored. If "Segmented Particles" is selected as "Output Type", the area below the lower threshold is considered a background.
The number of particles as obtained by "Analyze Particles" in the output image does not depend on the "Output Type" selected. Note that "Segmented Particles" will usually result in particles touching the edge if "Exclude Edge Maxima" is selected. Find Maxima does not work on stacks, but the FindStackMaxima macro runs it on all the images in a stack and creates a second stack containing the output images.
Enhance Contrast Enhances image contrast by using either histogram stretching or histogram equalization. Both methods are described in detail in the Hypermedia Image Processing Reference. Look up "enhancement" in the index. This command does not alter pixel values as long as the Normalize and Equalize histogram options are not enabled. Saturated pixels determines the number of pixels in the image that are allowed to become saturated.
Increasing this value increases contrast. This value should be greater than zero to prevent a few outlying pixel from causing the histogram stretch to not work as intended. Check Normalize and ImageJ will recalculate the pixel values of the image so the range is equal to the maximum range for the data type, or The maximum range is for 8-bit images and for bit images. Note that normalization of RGB images is not supported.
The Use stack histogram option is ignored. With stacks another checkbox, Process all slicesbinary option pop up derivation displayed. If this option is enabled, normalization and histogram equalization are applied to all slices in the stack. Check Equalize histogram to enhance the image using histogram equalization.
Create a selection and the equalization will be based on the histogram of the selection. Uses a modified algorithm that takes the square root of the histogram values. Hold the alt key down to use the standard histogram equalization algorithm.
The Saturated pixels and Normalize options are ignored when Equalize Histogram is checked. The equalization code was contributed by Richard Kirk. If Stack histogram checked, ImageJ will use the overall stack histogram instead of individual slice histograms, that allow optimal adjustments for each slice alone. This option may be especially relevant when performing enhancements based on a ROI.
Noise Submenu Use the commands in this submenu to add noise to images or remove it. Add Noise Adds random noise to the image binary option pop up derivation selection.
The noise is Gaussian normally distributed with a mean of zero and standard deviation of Add More Noise Adds Gaussian noise with a mean of zero and standard deviation of Salt and Pepper Adds salt and pepper noise to the image or selection by randomly replacing 2. Despeckle This is a median filter. It replaces each pixel with the median value in its 3 x 3 neighborhood. This is a time consuming operation because, for each pixel in the selection, the nine binary option pop up derivation in the 3x3 neighborhood must be sorted and the center pixel replaced with the median value the fifth.
Median filters a good at removing salt and pepper noise. Remove Outliers Replaces a pixel by the median of the pixels in the surrounding if it deviates from the median by more than a certain value the threshold. Useful for correcting, e. Radius determines the area binary option pop up derivation for calculating the median uncalibrated, i.
Threshold determinates by how much the pixel must deviate from the median to get replaced, in raw uncalibrated units. Which Outliers determines whether pixels brighter or darker than the surrounding the median should be replaced. It does not remove patches of NaNs larger than the kernel size, however. Radius determines the area binary option pop up derivation the circular kernel used for calculating the median. The Binary option pop up derivation macro demonstrates how to create, binary option pop up derivation and remove NaNs.
Other filters may produce invalid results in the position of NaN pixels. Shadows Submenu Commands in this submenu binary option pop up derivation a shadow effect, with light appearing to come from a direction corresponding to the command name. The commands use Convolve3x3ImageJ's 3x3 convolution function. Two of the convolution kernels are shown in the illustration. Shadows Demo uses all eight kernels to demonstrate the speed of Convolve3x3. Binary Submenu This submenu contains commands that create or process binary black and white images.
Make Binary Converts an image to black and white. The threshold level is determined by analysing the histogram of the current selection, or of the entire image if there is no selection. The algorithm used to calculate the threshold is described in the FAQs.
With stacks, all images in the binary option pop up derivation are converted to binary using the calculated threshold of the currently displayed slice. Use the ConvertStackToBinary macro to convert a stack to binary using locally calculated thresholds. The MakeSliceBinary macro converts the current stack slice to binary and advances to the next when you press a key. Convert to Mask Converts the image to black and white based on the current threshold settings if set or on a threshold calculated by analyzing the histogram.
Erode Removes pixels from the edges of black objects. Dilate Adds pixels to the edges of black objects. Open Performs an erosion operation, followed by dilation. This smoothes objects and removes isolated pixels.
Close Performs a dilation operation, followed by erosion. This smoothes objects and fills in small holes. Displays a dialog box that allows several settings used by commands in the Binary submenu to be altered. Iterations specifies the number of times erosion, dilation, opening, and closing are performed. Count specifies the number of adjacent background pixels necessary before a pixel is removed from the edge of an object during erosion and the number of adjacent foreground pixels necessary before a pixel is added to the edge of an object during dilation.
Check Black background if the image has white objects on a black background. Plugins can set this option binary option pop up derivation Prefs. Set it to "Overwrite" for 8-bit output that overwrites the input image; "8-bit", "bit" or "bit" for separate output images. Outline Generates a one pixel wide outline of objects in a binary image. Skeletonize Repeatably removes pixels from the edges of objects in a binary image until they are reduced to single pixel wide skeletons.
Each foreground pixel in the binary image is replaced with a gray value equal to that pixel's distance from the nearest background pixel. Requires a binary image as input. The UEPs represent the centers of particles that would be separated by segmentation. The UEP's gray value is equal to the radius of binary option pop up derivation inscribed circle of the corresponding particle.
Watershed Watershed segmentation is a way of automatically separating or cutting apart particles that touch. It then dilates each of the UEPs the peaks or local maxima of the EDM as far as possible - either until the edge of the particle is reached, or the edge of the region of another growing UEP. Watershed segmentation works best for smooth convex objects that don't overlap too much. An example is available. Voronoi Splits the image by lines of points having equal distance to the borders of the two nearest particles.
Thus, the Voronoi cell of each particle includes binary option pop up derivation points that are nearer to this particle than any other binary option pop up derivation. For the case of the particles being single points, this is a Voronoi tessellation also known as Dirichlet tessellation. In the output, the value inside the Voronoi cells is zero; the pixel values of the dividing lines between the cells are equal to the distance to the two nearest particles.
This is similar to a medial axis transform of the background, but there are no lines in inner holes of particles. Math Submenu The commands in this submenu add binary option pop up derivation, multiply, etc.
With stacks, a "Process Stack? This dialog has Yes process entire stackNo process current image and Cancel buttons. Adds a constant to the image or selection. With 8-bit images, results greater than are set to With bit signed images, results greater than 65, are set to 65, Subtracts a constant from the image or selection.
With 8-bit and bit images, results less than 0 are set to 0. Multiplies the image or selection by the specified real constant. Divides the image or selection by the specified real constant. Except for bit float images, attempts to divide by zero are ignored.
They can also be removed again, as can standard options already present if you wish, such as Clock: ESP checkbox status Voice control Fuel. Optionen Register. Mit dem Security-Update 832894 vom Dienstag hat Microsoft fur einigen Unmut bei seinen Internet.