Chapter 7 Flashcards

1
Q

What does BLOB stand for?

A

Binary large object.

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2
Q

What is connectivity

A

Relates to whether to objects are connected or not.

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3
Q

Two types of connectivity:

A

4- and 8-connectivity.

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4
Q

Grass-fire:

A

Pretend you light one place on fire (top left) and that the fire can only travel via 4-or 8-connectivity.

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5
Q

What are BLOB-features?

A

Different attributes of BLOBs -this could be circularity. Often held up against known object.

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6
Q

BLOB area:

A

Number of pixels in a blob

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7
Q

BLOB bounding box:

A

The quadrate around the blob with sides lowest x and highest x and top and bottom lowest y and highest y.

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8
Q

Bounding box ratio:

A

Height of box divided by width.

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9
Q

Bounding circle:

A

same as BB but a circle.Found by finding center then looking in all directions.

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10
Q

Feature vector:

A

All BLOB features collected in a vector.

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11
Q

Convex hull:

A

minimum novex ploygon.

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12
Q

BLOB compactness:

A

Area/BB_area

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13
Q

Center of mass:

A

(average_x_coordinate, average_y_coordinate)

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14
Q

Perimeter:

A

Like f(x,y) - erosion f(x,y)

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15
Q

Circularity:

A

Perimeter_measured/perimeter_estimated

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16
Q

BLOB classification

A

BLOBs can be classified on the basis of their features being within certain values.

17
Q

Feature space:

A

For Blob features a feature space can be made -basicallye every axis is a feature and you must stay within certain values of each feature to be in the feature space.

18
Q

What is a confusion matrix?

A

matrix listing

TN FP
FN TP

19
Q

Accuracy:

A

(TP+TN)/N

20
Q

Misclassification rate:

A

(FN+FP)/N

21
Q

True positive rate / sensitivity:

A

TP / (TP + FN)

22
Q

False positive rate

A

FP / (TN + FP)

23
Q

Specificity

A

TN / (TN + FP)

24
Q

Precision

A

TP / (FP + TP)