How Long to Read Genetic Learning for Adaptive Image Segmentation

How Long Does it Take to Read Genetic Learning for Adaptive Image Segmentation?

It takes the average reader 4 hours and 46 minutes to read Genetic Learning for Adaptive Image Segmentation by Bir Bhanu

Assuming a reading speed of 250 words per minute. Learn more

Description

Image segmentation is generally the first task in any automated image understanding application, such as autonomous vehicle navigation, object recognition, photointerpretation, etc. All subsequent tasks, such as feature extraction, object detection, and object recognition, rely heavily on the quality of segmentation. One of the fundamental weaknesses of current image segmentation algorithms is their inability to adapt the segmentation process as real-world changes are reflected in the image. Only after numerous modifications to an algorithm's control parameters can any current image segmentation technique be used to handle the diversity of images encountered in real-world applications. Genetic Learning for Adaptive Image Segmentation presents the first closed-loop image segmentation system that incorporates genetic and other algorithms to adapt the segmentation process to changes in image characteristics caused by variable environmental conditions, such as time of day, time of year, weather, etc. Image segmentation performance is evaluated using multiple measures of segmentation quality. These quality measures include global characteristics of the entire image as well as local features of individual object regions in the image. This adaptive image segmentation system provides continuous adaptation to normal environmental variations, exhibits learning capabilities, and provides robust performance when interacting with a dynamic environment. This research is directed towards adapting the performance of a well known existing segmentation algorithm (Phoenix) across a wide variety of environmental conditions which cause changes in the image characteristics. The book presents a large number of experimental results and compares performance with standard techniques used in computer vision for both consistency and quality of segmentation results. These results demonstrate, (a) the ability to adapt the segmentation performance in both indoor and outdoor color imagery, and (b) that learning from experience can be used to improve the segmentation performance over time.

How long is Genetic Learning for Adaptive Image Segmentation?

Genetic Learning for Adaptive Image Segmentation by Bir Bhanu is 283 pages long, and a total of 71,599 words.

This makes it 96% the length of the average book. It also has 88% more words than the average book.

How Long Does it Take to Read Genetic Learning for Adaptive Image Segmentation Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 31 minutes to read Genetic Learning for Adaptive Image Segmentation aloud.

What Reading Level is Genetic Learning for Adaptive Image Segmentation?

Genetic Learning for Adaptive Image Segmentation is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Genetic Learning for Adaptive Image Segmentation?

Genetic Learning for Adaptive Image Segmentation by Bir Bhanu is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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