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Image Analysis

7,5 credits

The student shall acquire knowledge and practical experience of digital image analysis, of primarily 2D images.

After completing the course, the student shall be able to

  • describe the fundamental concepts in image analysis, primarily color, texture and shape
  • use these funamental concepts to describe and solve practical problems
  • describe real image analysis problems mathematically

Spring 2022 (Campus based, Halmstad, 50%)

Level:

Advanced level

Application code:

X3437

Entry requirements:

Courses in computer science, computer engineering and electrical engineering of at least 90 credits. Courses in mathematics of at least 30 credits or courses including calculus, linear algebra and transform methods.

Selection rules:

Available for exchange students. Limited numbers of seats.

Start week:

week: 12

Instructional time:

Daytime

Language of instruction:

Teaching is in English.

Show education info
Spring 2023 (Campus based, Halmstad, 50%)

Level:

Advanced level

Application code:

X3437

Entry requirements:

Courses in computer science, computer engineering and electrical engineering of at least 90 credits. Courses in mathematics of at least 30 credits or courses including calculus, linear algebra and transform methods.

Selection rules:

Available for exchange students. Limited numbers of seats.

Start week:

week: 12

Instructional time:

Daytime

Language of instruction:

Teaching is in English.

Show education info

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