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ColorSieve 1.1
ColorSieve is a utility that will display the color information for any pixel on the screen. ColorSieve can display color information in RGB, HSL, HSV, and CMY color models more>> ColorSieve is a utility that will display the color information for any pixel on the screen. ColorSieve can display color information in RGB, HSL, HSV, and CMY color models. The information can be shown as a short number (0-65535), byte number (0-255), or as a percentage. For programmers, ColorSieve supports hexadecimal format.
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Component X Graphics 3.1
Component X Graphics - REALbasic plugin for graphics functions more>>
It contains routines to stretch, flip, rotate, shear, and trim pictures, routines to adjust contrast, gamma, HSV, and RGB of pictures, routines for compositing, threshold, transitions, and pixelating images, and even a routine to blit high quality crawling ants on images.
Color Spaces 1.0
Color Spaces - Spec color in the RGB, HSV/B and HLS color spaces and convert between them more>>
The AdvancedColor object essentially extends the built-in Color object by adding the ability to specify color for a movie clip in any of the RGB, HLS or HSV/B color spaces. It also provides static methods that allow direct conversion between color spaces.
ColorWrite 1.1
Covert colors to web-safe values. more>>
It even generates the code you need for using a color in HTML, CSS or Java. And now it helps you with color combinations, too.
Pygmy 2.5
Pygmy is a feature-packed replacement for Apples Pixie pixel-viewing application more>>
Among Pygmys options are an optional grid which is customizeable in in size and color, a "Hot Pixel" outline which makes it very easy to identify which pixel the cursor is over, selection and measurement of the image, remember colors, and much more.
Tuwo 1.0
Free C++ library for tasks frequently encountered in high-level computer vision systems for object recognition and image classification more>> Free C++ library for tasks frequently encountered in high-level computer vision systems for object recognition and image classification
Computer vision is a subfield of computer science and deals with systems that can make sense of image information.
Building systems suited for high-level computer vision tasks such as object recognition and image classification requires the use of robust image statistics in the form of image features and machine learning algorithms to separate discriminative information from noise.
Tuwo is a C++ library that provides code to extract image features and learn decision functions from training data. Tuwo is suitable for high-level computer vision tasks.
The library should be used freely; in particular, extracting code as you deem necessary is encouraged. Tuwo is not intended to be a single monolithic library. To encourage free use, the library is licensed under the very liberal open-source MIT License.
Main features:
Machine Learning:
- k-means clustering
- nn/soft vector quantization and histograms
- mean shift clustering
- randomized decision tree ensembles
- structured support vector machine training, parallel
- conditional random field, MAP-MRF inference
Image Features:
- adaptive color histograms (CIE LAB, HSV, RGB)
- canny edge detection
- histogram of oriented gradients (HoG)
- local binary patterns (LBP)
- local self-similarity (LSS)
- oriented gradient histograms
- semantic texton forests
- region covariance
- textons
High-level Image Processing:
- mean shift segmentation
- tree-based segmentation (FH)
- normalized cut image segmentation
- image laplacians: matting laplacian, intervening contours, gradient
Input/Output:
- PASCAL VOC challenge XML metafile reader/writer

ImageJ 1.43j
ImageJ can be considered to be a high-quality and handy public domain Java image processing program which is inspired by NIH Image for the Macintosh. more>>
ImageJ 1.43j can be considered to be a high-quality and handy public domain Java image processing program which is inspired by NIH Image for the Macintosh. It runs, either as an online applet or as a downloadable application, on any computer with a Java 1.1 or later virtual machine. It can display, edit, analyze, process, save and print 8-bit, 16-bit and 32-bit images. It can read many image formats including TIFF, GIF, JPEG, BMP, DICOM, FITS and "raw". It supports "stacks", a series of images that share a single window. It is multithreaded, so time-consuming operations such as image file reading can be performed in parallel with other operations. It can calculate area and pixel value statistics of user-defined selections. It can measure distances and angles.
It can create density histograms and line profile plots. It supports standard image processing functions such as contrast manipulation, sharpening, smoothing, edge detection and median filtering. It does geometric transformations such as scaling, rotation and flips. Image can be zoomed up to 32:1 and down to 1:32. All analysis and processing functions are available at any magnification factor. The program supports any number of windows (images) simultaneously, limited only by available memory. Spatial calibration is available to provide real world dimensional measurements in units such as millimeters. Density or gray scale calibration is also available.
Major Features:
- Runs Everywhere: ImageJ is written in Java, which allows it to run on Linux, Mac OS X and Windows, in both 32-bit and 64-bit modes.
- Open Source: ImageJ and its Java source code are freely available and in the public domain. No license is required.
- User Community: ImageJ has a large and knowledgeable worldwide user community. More than 1700 users and developers subscribe to the ImageJ mailing list.
- Macros: Automate tasks and create custom tools using macros. Generate macro code using the command recorder and debug it using the macro debugger. More than 300 macros are available on the ImageJ Web site.
- Plugins: Extend ImageJ by developing plugins using ImageJ's built in text editor and Java compiler. More than 500 plugins are available.
- Toolkit: Use ImageJ as a image processing toolkit (class library) to develop applets, servlets or applications.
- Speed: ImageJ is the world's fastest pure Java image processing program. It can filter a 2048x2048 image in 0.1 seconds (*). That's 40 million pixels per second!
- Data Types: 8-bit grayscale or indexed color, 16-bit unsigned integer, 32-bit floating-point and RGB color.
- File Formats: Open and save all supported data types as TIFF (uncompressed) or as raw data. Open and save GIF, JPEG, BMP, PNG, PGM, FITS and ASCII. Open DICOM. Open TIFFs, GIFs, JPEGs, DICOMs and raw data using a URL. Open and save many other formats using plugins.
- Image display: Tools are provided for zooming (1:32 to 32:1) and scrolling images. All analysis and processing functions work at any magnification factor.
- Selections: Create rectangular, elliptical or irregular area selections. Create line and point selections. Edit selectoins and automatically create them using the wand tool. Draw, fill, clear, filter or measure selections. Save selections and transer them to other images.
- Image Enhancement: Supports smoothing, sharpening, edge detection, median filtering and thresholding on both 8-bit grayscale and RGB color images. Interactively adjust brightness and contrast of 8, 16 and 32-bit images.
- Geometric Operations: Crop, scale, resize and rotate. Flip vertically or horizontally.
- Analysis: Measure area, mean, standard deviation, min and max of selection or entire image. Measure lengths and angles. Use real world measurement units such as millimeters. Calibrate using density standards. Generate histograms and profile plots.
- Editing: Cut, copy or paste images or selections. Paste using AND, OR, XOR or "Blend" modes. Add text, arrows, rectangles, ellipses or polygons to images.
- Color Processing: Split a 32-bit color image into RGB or HSV components. Merge 8-bit components into a color image. Convert an RGB image to 8-bit indexed color. Apply pseudo-color palettes to grayscale images.
- Stacks: Display a "stack" of related images in a single window. Process an entire stack using a single command. Open a folder of images as a stack. Save stacks as multi-image TIFF files.
Enhancements:
- Added the Image>Overlay submenu with Add Selection, Add Image, Hide Overlay, Show Overlay, From ROI Manager, To ROI Manager and Flatten commands (example1, example2).
- Added the ImageRoi class (JavaScript example).
- Bruno Vieira contributed Colony Counter, a plugin for counting bacteria colonies in agar plates.
- Marcel Austenfeld contributed Twain Scan, a plugin that uses the open source library from www.mms-computing.co.uk to capture images from Twain campatible scanners and cameras.
Requirements:
- Mac OS X 10.5 or later
Color Processing: Split a 32-bit color image into RGB or HSV components. Merge 8-bit components into a color image. Convert an RGB image to 8-bit indexed color. Apply pseudo-color palettes toLicense:Freeware
ColourMod 1.9
An extremely flexible color picker that outputs Hex, RGB and HSV values. Functions similar to Photoshop?s color picker more>> <<less
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