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The primary focus of this book is on techniques for segmentation of visual data. By "visual data," we mean data derived from a single image or from a sequence of images.

Unsupervised Segmentation of Greenhouse Plant Images Based on Statistical Method

By "segmentation" we mean breaking the visual data into meaningful parts or segments. However, in general, we do not mean "any old data": but data fundamental to the operation of robotic devices such as th The primary focus of this book is on techniques for segmentation of visual data.

STATISTICAL APPROACH TO PERFORMANCE COMPARISON OF PREDICTIVE ALGORITHMS

However, in general, we do not mean "any old data": but data fundamental to the operation of robotic devices such as the range to and motion of objects in a scene. Having said that, much of what is covered in this book is far more general: The above merely describes our driving interests.

Data Segmentation and Model Selection for Computer Vision

The central emphasis of this book is that segmentation involves model- fitting. We believe this to be true either implicitly as a conscious or sub- conscious guiding principle of those who develop various approaches or explicitly. What makes model-fitting in computer vision especially hard? There are a number of factors involved in answering this question.

Data Segmentation and Model Selection for Computer Vision

The amount of data involved is very large. The number of segments and types models are not known in advance and can sometimes rapidly change over time. The sensors we have involve the introduction of noise.


  • Machine Learning;
  • MODEL BASED GLOBAL IMAGE REGISTRATION;
  • SIAM Review;

Chapter 1 summarizes many of the attempts of computer vision researchers to solve the problem of segmenta- tion in these difficult circumstances. Get A Copy. Hardcover , pages. Use of this web site signifies your agreement to the terms and conditions.

Machine Learning: What it is and why it matters | SAS

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Email Address. Sign In. The amount of data involved is very large.

What it is and why it matters

The number of segments and types models are not known in advance and can sometimes rapidly change over time. The sensors we have involve the introduction of noise.

Chapter 1 summarizes many of the attempts of computer vision researchers to solve the problem of segmenta- tion in these difficult circumstances. Country of Publication: US Dimensions cm : Help Centre.

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Image segmentation

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