Definiens eCognition 8 英文用户手册：提升图像智能解决方案

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本资源是《Definiens eCognition Developer 8 用户指南》的英文版，由Definiens AG公司发布，版本号为1.2.0。版权属于2009年的Definiens AG，所有权利受保留，仅根据相关Definiens软件的Frame License Agreement条款可进行复制和打印。Definiens是一家专注于图像智能解决方案的公司，致力于提供卓越的产品和服务，并鼓励用户对软件、培训以及文档提出改进意见，可以通过网站www.definiens.com/support联系他们。作为一款图像处理软件，eCognition Developer 8 用户手册详细介绍了如何利用这款工具进行高级图像分析和理解。该手册涵盖了关键功能，如特征检测、分类、图像识别以及Cognition Network Technology的应用，这是一种专有的技术，旨在帮助用户构建和管理复杂的图像智能网络。用户可以利用这些功能在各个领域，如生物医学成像、安防监控、环境保护等，提升图像数据的解析能力。手册中的内容可能包括但不限于以下部分： 1. **安装与配置**：介绍如何下载和安装软件，以及必要的系统要求和硬件支持。 2. **界面导航**：展示软件的用户界面布局，以及各个工具栏和菜单的功能解释。 3. **图像预处理**：讲解如何导入、校准和预处理图像数据，以优化后续分析的准确性。 4. **特征提取与描述**：介绍用于识别和区分不同对象的关键特征检测算法，如SIFT、SURF或HOG等。 5. **机器学习与分类**：阐述如何使用训练数据建立模型，以便对新图像进行自动分类或识别。 6. **Cognition Network Technology**：详细介绍如何构建和管理知识网络，以便在大量图像数据中进行高效的模式识别和关联分析。 7. **性能优化与调整**：提供指导，帮助用户优化算法设置以适应特定应用场景，提高处理速度和准确度。 8. **案例研究与应用示例**：包含实际项目中的使用案例，展示eCognition Developer 8 在各种场景下的实战效果。 9. **故障排查与技术支持**：提供常见问题解决方法和联系方式，以协助用户在遇到问题时快速找到解决方案。最后，法律条款部分强调了Definiens的注册商标权，以及用户应遵守的使用规定。总体来说，这份用户手册是深入理解和操作Definiens eCognition Developer 8 的重要参考资料，对于任何需要利用其技术进行图像分析的专业人员而言，都是一份不可或缺的工具。

Definiens eCognition Developer 8 – User Guide

• Choose Library > Load Solution on the main menu

• To use a solution that was built with another action library, open the action library before

opening your solution.

2. Select the desired file and click OK. The solution is displayed in the Analysis Builder

3.3.2.2 Running a Solution

There are several ways to run a solution or components of a solution. You can utilize buttons

implemented in the individual actions or use the Architect toolbar functions. All functions

implemented with the individual actions will be explained with the respective actions. Below is an

overview of the functions offered by the Architect toolbar.

Figure 7: The Architect Toolbar

 Run Selected Action: Click this button to run a selected action. This function is used to execute

an action after the definition is set

 Run Solution Until Selected Action: Deletes the existing status and reruns the entire solution

until the selected action. If you build on existing projects you should not use this button, since all

existing objects and results are removed

 Execute Solution: Click Execute Solution to delete the existing status and run the entire solution.

If you build on existing projects you should not use this button, since all existing objects and

results are removed.

3.4 Using Segmentation Actions

Use segmentation actions to create image objects or merge objects in the same class. Three

segmentation actions are provided:

 Quadtree: This action divides images into squares of different sizes, depending on the

homogeneity of the image. Homogeneous areas will have larger image objects than complex or

heterogeneous areas

 Multiresolution: The multiresolution segmentation algorithm consecutively merges pixels or

existing image objects. It is based on a pairwise region merging technique

 Merge Objects: This algorithm merges image objects that are in the same level and class into

larger image objects.

Note

Whenever a segmentation action is added to a solution, existing samples of the classes which are

segmented are disconnected. This means that the samples feature space is stored, but the physical

sample object is removed. For the user this means the sample cannot be removed.

3.4.1 Segmentation (Quadtree)

Use the Segmentation (Quadtree) action to create image objects. It uses the quadtree-based

segmentation algorithm, which creates squares of differing sizes by cutting. Therefore it is a top-down

segmentation algorithm. You can define an upper limit of color differences within each square; this

limit is called the scale parameter.

The following are examples of typical uses:

Definiens eCognition Developer 8 – User Guide

 Images with a well-separated background or foreground, for example some cellular assays

 Images with a significant proportion of background that is easy to separate.

To increase the processing performance significantly for this type of image, apply a quadtree-

based segmentation before separating the background. Then use a different segmentation for

the non-background areas of interest.

To use the Segmentation (Quadtree) action:

1. Click the plus sign (+) or the Add New Generic Action link in the Analysis Builder window. Select

the action, then click Add and Close.

Figure 8: Segmentation (Quadtree) Action

3. In the Domain group box, select a level or create a new one to open the Enter Name of New Level

dialog box. Enter a name or accept the default, then click OK.

4. In the Domain group box, select a class or select Create New Class to open the Create New Class

dialog box. Enter a name or accept the default, then click OK.

5. Select Use Thematic Layers if you want to include thematic data.

6. Use the slider in the Scale area to select the scale of objects. A higher scale will tend to create

larger objects.

7. Move your mouse over fields in the Analysis Builder window to see descriptions in the

Description area.

8. Run the action by clicking Run (Alternatively you can run the action by clicking on Analysis > Run

Selected Action in the main menu.)

After running the action, you can see the resulting image objects by clicking in the project view or by

clicking the Show or Hide Outlines button to see all image objects outlined.

3.4.2 Segmentation (Multiresolution)

Use the Segmentation (Multiresolution) action to create image objects. It uses the multiresolution

segmentation algorithm, which consecutively merges pixels or existing image objects. It is a bottom-

up segmentation based on a pairwise region merging technique.

Multiresolution segmentation is an optimization procedure which, for a given number of image

objects, minimizes the average heterogeneity and maximizes their respective homogeneity.

The following are examples of typical uses:

Definiens eCognition Developer 8 – User Guide

3.4.3 Segmentation (Merge Objects)

Use the Segmentation (Merge Objects) action to merge objects that are in the same class into larger

objects. You must have classified image objects to use this action.

To use the Segmentation (Merge Objects) action:

1. Click the plus sign (+) or the Add New Generic Action link in the Analysis Builder window. Select

Segmentation (Merge Objects) in the Add Action dialog box; then click Add and Close.

Figure 10: Segmentation (Merge Objects)

3. In the Domain group box, select a level using the drop-down arrow. Choose from the available

values and click OK. This is the level where objects will be merged.

4. Select a Class in the Domain group box. Select from the available values – only objects in the

selected class will be merged.

5. Select Use Thematic Layers if you want to include thematic data.

6 Run the action by clicking Run. Alternatively you can run the action by clicking on Analysis > Run

Selected Action in the main menu.

After running the action, you can see the resulting image objects by clicking in the project view or by

clicking the Show or Hide Outlines button to see all image objects outlined.

3.5 Using Classification Actions

Use classification actions to classify image objects based on samples or thresholds. Four classification

algorithms are available:

 Optimal Box: This is a sample-based classification algorithm. Based on user-defined samples, the

best feature set for separating the two input classes is derived and the classification is performed

 Nearest Neighbor: This is also a sample-based classification algorithm. Based on user-defined

samples, a nearest neighbor algorithm combined with predefined feature sets is used to assign

objects to classes

 Brightness Threshold: This action classifies objects based on a brightness threshold. Objects

darker than a defined threshold are labeled with the defined class

 Clutter removal: This assigns and merges objects below a defined size threshold to the

predominant class in the surroundings. This action is not a pure classification action: it performs a

classification and a merge.

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