Aphelion Software: Unlocking Vision: Exploring the Depths of Aphelion Software

By Fouad Sabry

What is Aphelion Software

The Aphelion Imaging Software Suite is a software suite that includes three base products - Aphelion Lab, Aphelion Dev, and Aphelion SDK for addressing image processing and image analysis applications. The suite also includes a set of extension programs to implement specific vertical applications that benefit from imaging techniques.

How you will benefit

(I) Insights, and validations about the following topics:

Chapter 1: Aphelion (software)

Chapter 2: Computer vision

Chapter 3: Microsoft Excel

Chapter 4: MATLAB

Chapter 5: Optical microscope

Chapter 6: Machine vision

Chapter 7: Microscope image processing

Chapter 8: Image analysis

Chapter 9: Visual programming language

Chapter 10: Bitplane

(II) Answering the public top questions about aphelion software.

(III) Real world examples for the usage of aphelion software in many fields.

Who this book is for

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Aphelion Software.

• Language: English
• Publisher: One Billion Knowledgeable
• Release date: May 14, 2024

Book preview

Chapter 1: Aphelion (software)

Aphelion Lab, Aphelion Dev, and Aphelion SDK are the three foundational components that make up the Aphelion Imaging Software Suite, which is designed to handle image processing and analysis tasks. The suite also comes with a collection of add-on packages for putting into action targeted vertical applications that make use of imaging techniques.

Aphelion's software can be used to quickly and easily create working prototypes of applications, or it can be integrated into an existing system as processing and visualization libraries. Intangible Parts.

The Aphelion software library was created in 1995 as a cooperative initiative between the Center of Mathematical Morphology at Mines ParisTech and a French firm called ADCIS S.A.

In April of 1996, Aphelion 1.0 was released to the public. The software was previewed at the 1996 Photonics East conference in Boston and the 1997 Solutions Vision show in Paris, where it went up against Stemmer Imaging's CVB imaging toolbox. The first stable release was made in December 1996.

Aphelion 2.3 for Windows 98 was released in 1998. It's simpler to operate and has fewer options for processing images. Aphelion Dev (which replaced Aphelion Developer), Aphelion Lab, Aphelion SDK (which replaced Aphelion Core), and a collection of extensions made up the Aphelion Image Processing Suite.

ADCIS is still developing the suite as of now, with new versions featuring expanded extensions and functions being made accessible on the websites of both organizations on a regular basis. In 2015, it became possible to view scan microscope images and other extremely big images.

The word Aphelion is derived from the astronomy phrase of the same name, which refers to the angular distance from the Sun by which a planet orbits the star. Aphelion, a Windows suite, was a far cry from Unix, the operating system of choice for scientific workstations in the 1990s (including market leader Sun Microsystems' workstations).

Aphelion is a collection of programs.

The fundamental idea behind image processing is to automatically process digital image pixels in order to extract one or more objects of interest (such as cells in biology or inclusions in materials science) and then compute one or more measurements on those objects in order to quantify the image and generate a verdict (good image, image with defects, cancerous cells). In other words, the image is used as input to a third-party system or classification software that performs further processing on the extracted features of interest by applying a series of subsequent functions or operators to the image's pixels.

Images can be captured using a variety of acquisition systems, including but not limited to digital cameras, video cameras, optical and electron microscopes, medical scanners, and smartphones. The data set can be displayed as a volume rendered (3D image; an array of voxels in the 3D space) or surface rendered (3D image) image, or as a 1D image (1D signal), 2D image (an array of pixel values corresponding to a monochrome or color image), or 3D image (volume rendering; an array of voxels in the 3D space). Two-dimensional color images are constructed from pixels with three values (usually representing red, green, and blue or some other color space), while three-dimensional color images might be monochrome, color (indexed colors are frequently employed), multispectral, or hyperspectral. When working with videos, a new frequency band is introduced to account for time-related data.

There are three essential programs in the Aphelion Software Suite plus a few others that can be used for specialized tasks:

Aphelion Lab is a basic suite for those who are not image processing professionals. It expedites the extraction of objects of interest from an image in a semi-automatic or manual manner, and the subsequent computation of a set of measures based on those objects. From taking pictures to making reports, the whole process is simplified with the help of wizards.

Aphelion Dev's mission is to build and release an image-analysis app. It also comes with a collection of macro-command languages that can be used to automate any program that can be launched from the UI. Having many images on storage, in a network, or taken by an acquisition device to run the imaging algorithm on is also helpful. Aphelion Dev includes DLLs and libraries for image processing and visualization. Intangible Parts.

Aphelion SDK:

The primary objective of image processing is to identify and isolate objects of interest within an image so that they can be further categorized according to their many attributes. The following steps, all performed in Aphelion, will lead to the desired result:

To acquire a picture, use an acquisition device or load an image from a disk.

Improve the image by adjusting the contrast or removing noise.

Separate out the features of the image that will later be used for quantitative analysis. In most cases, a threshold is used to create a binary image for straightforward programs. The image is then cleaned up using morphological operators that isolate the features of interest. At last, we assign connectivity values (4 or 8 connectivity when a square grid is utilized) to each object in the image while assigning zero to the background.

The user can manually adjust the set of objects to get rid of artifacts and modify their edges. The objects can be categorized based on their measured properties, such as their shape, color, and density.

Using the Aphelion UI's macro-commands, you can apply the same processes described above to multiple photos at once. More data can be collected, and a more reliable algorithm can be developed, when applied to a set of photos.

Descriptors or measurements can be used to group objects into categories, and statistical analysis can be done on the collected data to train classifiers.

Those interested in the fields of image processing and computer vision, including students, researchers, engineers, and software developers, make extensive use of the Aphelion Imaging Software Suite:

security (surveillance, object tracking)

remote sensing

industrial quality assurance and inspection uses

materials science

Health and Biology (medicine and biology)

Earth sciences (geology)

theory (image processing, machine learning and optimization)

Aphelion SDK has been implemented in the field of multi-camera video surveillance. A program has been made to keep an eye on a subway in a major city (corridors, platforms, etc.).

Vehicle license plate scans mechanically. Safer driving conditions

Multiple-camera passenger-tracking in an underground transit system. Security cameras

Tracking an aircraft carrier landing. Following objects

Tracing vehicles. Following objects

Aphelion is used to automatically identify human-made features like roads, homes, and farmland in satellite imagery. The software has many applications, including solar surface analysis. Multi band images, like those captured by satellites, contain details invisible to the naked eye. Additionally, they are typically digitized on a bit depth greater than 8. The usage of hyperspectral pictures is widespread in remote sensing (infrared and ultraviolet). They aid in the identification of certain contrast regions at measured wavelengths.

Locating and categorizing objects in the field. Methods of Collecting Data from a Distance

Detection of streets and structures. Methods of Collecting Data from a Distance

ADCIS has created a printed circuit board analysis measuring software solution for use in industrial quality control. You can use the program to scientifically evaluate the effectiveness of a wrinkle cream by comparing before and after pictures. ADCIS has also created other quality control applications, such as the automatic classification of silver grains on films. ADCIS worked on two projects related to optics: one to model stiff scleral contact