Basler A501k User Manual download pdf (Page 15)

3-14

eVision

Image Analysis Tools

Introduction

Image

Region of Interest (ROI)

Features

Easy to learn and use

Optimized for MMX

Robust, flexible and powerful

Sub-pixel measurement accuracy

Compatible with Windows (2000, XP, XP Embedded

and 2003 server) and Linux (RedHat 7.3 and RedHat 8.0)

Compatible with Microsoft Visual Basic,

Microsoft VB.NET, Microsoft Visual C++, Borl

and C++ Builder and Borland Delphi

is a library dedicated to

automatically locate and read bar codes. Bar codes

encode short character string and are widely used for

marking and identifying goods. EasyBarCode is able to

identify and read a wide range of standard commonly used

symbologies as well as additional symbologies.

EasyBarCode automatically locates the bar code symbol

in the image. For prototyping or special cases, an

advanced manual location mode is also available.

is a font-dependent printed ch-aracter

reader based on a template matching algorithm. It allows

training on the font to be recognized showing sample

images of all possible characters. Hence, it is able to

read any kind of short text (serial numbers, labels, etc.)

such as those found in industrial environments.

The training phase uses an interactive utility to show

samples of characters and store them in a font file. Such

font editor is available and ready-made in EasyAccess.

EasyOCR also provides a training phase to recognize

text using one of these fonts.

is designed to find one or more

occurrences of given pattern in a larger image, featuring

fast processing and improved robustness compared to

classical algorithms. EasyFind has a high tolerance to

pattern degradation due to noise, blur, occlusion, missing

parts, or varying illumination conditions. With an adjustable

accuracy up to sub-pixel level, EasyFind provides very

precise, rotation and scaling invariant, and alignment. It

also supports' don't care' areas. This feature allows creating

complex pattern shapes. EasyFind is easily integrated into

any application, requiring no knowledge of machine version

concepts.

has been designed for on-line verification.

It can detect a blurred, misaligned, distorted or double

mark, extra or missing link, missing characters or reversed

mark as well as contrast problems.

is an optical character verification tool for

mark inspection. It provides automatic training of the model

adjustable acceptance levels and a robust gray-scale

analysis. EasyOCV is suitable for various mark inspection

and label printing verification applications, for PCB inspection,

for LCD inspection, or for the detection of mixed lots.

is a second-generation mea-surement

and dimension control library for use in gauging applications.

By relying on proven sub-pixel edge detection and least

squares fitting algorithms, it allows determining the position,

orientation, curvature, size, etc. of manufactured parts

with an excellent accuracy.

Robustness is ensured by powerful edge-point selection

mechanisms that are intuitive and easy to use, allowing

measurement in cluttered images. In addition to these

state-of-the-art features, EasyGauge also supports

adjustment of parallel sides, thus providing means of means

of measuring thickness of flat or bent objects, as well as

precise location of corners.

locates templates previously shown

to the system and arbitrarily positioned in an image. Patten

matching is a convenient and straightforward way to

accurately find the location of one or several instances of

a known object.

is used for blob analysis that is

obtaining information about distinct objects that are present

in an image. Processing is based on connected component

labeling, to isolate and identify objects. Various geometric

features of the objects, such as the area of ellipse of inertia

parameters, are then computed and the objects are sorted

and selected with respect to these features. Blob analysis

is a convenient way to locate objects even without any prior

knowledge of their shape, size and position, to measure

these characteristics and discriminate between them.

eVision forms a unique suite of software tools

tailored to industrial machine vision. The eVision

tools are suitable for a variety of measurements,

character recognition, mark inspection or surface

analysis on grayscale and color images. The

tools also contain pre-processing functions for

image enhancement and noise reduction. Easy

to understand, open, and well documented, the

eVision tools quickly integrate into any application

requiring image processing or analysis. The

eVision tools are based on Object Oriented

Programming (OOP) concepts. They allow you

to develop your application under the most up-

to-date programming environments and operating

systems. They exploit the power of your Pentium

processor and are optimized for MMX technology.

includes color-enable functions for

color image processing and support for altemate color

systems: RGB, XYZ, L*a*b, L*u*v*, YUV, YIQ, ISH, LSH,

VSH, LCH and YSH. EasyColor provides efficient means

to convert images between these systems and to transform

between color and gray level images. This component is

complementary to EasyImage.

includes gray level and color image

processing functions for tasks such as enhancement and

restoration by linear or non-linear filtering, geometric

transformations for registration, histogram analysis for

thresholding. These operations are usually performed as

pre-processing steps to improve the image quality and

obtain a good contrast between the background and objects

of interest.

In an eVision image, a Region of Interest is a

rectangular zone defined by an origin point, a

width and a height.

An image may accommodate several ROIs, which

are organized in a hierarchical manner to manage

and apply common features or actions (move,

delete, etc.) on ROIs.

•8-bit gray level ROI

•16-bit gray level ROI

•24-bit color ROI

eVision images are the building blocks of an

Easy library which are used by all other eVision

components.

• 8-bit gray level image

• 16-bit gray level image

• 24-bit true color image

• 15-bit color image

• 16-bit color image

• 32-bit color image

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