Q:
Ri is a connected set, where is
belongs to collection: DIGITAL IMAGE PROCESSING (DIP)- IMAGE SEGMENTATION MCQ
DIGITAL IMAGE PROCESSING (DIP)- IMAGE SEGMENTATION MCQ
- Digital functions\' derivatives are defined as
- For line detection we use mask that is
- Gradient computation equation is
- For finding horizontal lines we use mask of values
- If the inner region of the object is textured then approach we use is
- The horizontal gradient pixels are denoted by
- To avoid the negative values taking absolute values in lapacian image doubles
- First derivative approximation says that values of constant intensities must be
- For finding lines at angle 45 we use mask of values
- Second derivative approximation says that values along the ramp must be
- Ri is a connected set, where is
- Gradient magnitude images are more useful in
- Image having gradient pixels is called
- In laplacian images light shades of gray level is represented by
- For noise reduction we use
- Diagonal lines are angles at
- Transition between objects and background shows
- Horizontal lines are angles at
- Standard deviation is referred to as noiseless if having the value
- For edge detection we use
- Step edge transition is between pixels over the distance of
- Sobel gradient is not that good for detection of
- Smoothness reduced the bricks of
- Second derivative approximation says that it is nonzero only at
- Method in which images are input and attributes are output is called
- Computation of derivatives in segmentation is also called
- Model of lines through region is called
- Transition of intensity takes place between
- Averaging is analogous to
- Response of derivative mask is zero at
- Subdivision of the image depends upon the
- One that is not a method of image segmentation is
- Discontinuity approach of segmentation depends upon
- On ramp and step second derivatives produce
- Point detection is done using filter that is
- Second derivatives are zero at points on
- Two regions are said to be adjacent if their union forms
- 8bit image has intensity levels of
- Sobel operators were introduced in
- Blurring attenuate the
- A line is viewed as
- Sobel is better than prewitt in image
- Intensity\'s local changes can be detected through
- For line detection we assume that lines are
- Example of similarity approach in image segmentation is
- The preferred direction of mask is weighted with the
- Points other than exceeding the threshold in output image are marked as
- In laplacian images dark shades of gray level is represented by
- Pixels where intensity changes abruptly are called
- Isolated point is also called
- Points exceeding the threshold in output image are marked as
- Example of discontinuity approach in image segmentation is
- First derivative approximation says that values of intensities at the onset must be
- Image segmentation is also based on
- Image whose principle features are edges is called
- Vertical lines are angles at
- If R is the entire region of the image then union of all segmented parts should be equal to
- Mask\'s response to zero means
- Lines in an image can be oriented at angle
- Laplacian images need
- For point detection we use
- Textured inner region of the object produces
- If the standard deviation of the pixels is positive, then sub image is labeled as
- Thresholding gives the
- Marr hildreth method was introduced in
- Segmentation is a process of
- Log function is also called
- Segmentation algorithms depends on intensity values\'
- Sudden changes in intensity produces peak in
- Ideal edges occur over the distance of
- Image intensities are normally ranged to
- Edge detector method is used to detect
- Accuracy of image segmentation can be improved by the type of
- During segmentation every pixel of an image should be in
- The vertical gradient pixels are denoted by
- For line detection we use
- Marr hildreth method was introduced for
- When the desired object is detected segmentation should be
- Similarity approach of segmentation depends upon
- For edge detection we combine gradient with
- Lines are referred as
- LOG stands for
- Summation square and square root are called
- The magnitude of vector is its
- Second derivative approximation says that values of constant intensities must be
- Gradient image is formed by the component
- Double line effect is produced by
- Local averaging
- Digital images have edges that are
- Edges arise between thin objects and backgrounds are
- For edge detection we observes
- For diagonal edge detection we use
- Thresholding is the example of
- Algorithm stating that boundaries of the image are different from background is
- Intersection between zero intensity and extreme of second derivative is called
- Edge detection has fundamental
- Regions of the image must be
- More smoothness is created by the mask of size
- The direction of angle to the gradient is
- Second derivative approximation says that value at end of ramp must be
- In the sense of predicate two regions of the image must be
- If all lines in the direction of defined direction of mask are wished to be found then we use
- If inside the boundary is white otherwise black predicate is
- One angle at which the lines in an image are not oriented is
- Edge detection is based on
- Dividing image into its objects is called
- The coefficients of masks sum to
- Sum of coefficients of derivative mask is
- Fine details can be reduced by
- The sum of LOG filter coefficients should be
- Canny edge detection algorithm is based on
- First derivatives are zero at points on
- The resolution of the image (12x12) is
- In laplacian images mid gray level is represented by
- Locating the center of thick edges we use
- Strong Heat signatures can be detected using
- Second derivatives have stronger response to
- Edge pixels lie on darker or bright side of image can be determined by the
- First derivatives in image segmentation produces
- Edge localization id edge detection\'s
- To avoid the negative values in lapacian image we use only
- Masks for detection of specific lines are called
- Line whose length and width is of one pixel is called
- Detection of edge points is edge detection\'s
- Intersection of two connected sets of an image should be
- Isotropic detectors are independent of
- For finding vertical lines we use mask of values
- For diagonal edge detection we use 2D mask of
- For finding lines at angle -45 we use mask of values
- Gradient vector is also called
- First and second derivatives can be computed using
- First derivatives are positive at points on
- For finding edge strength approach that is used is
- Image segment methods are of
- Thresholding gradient image produces good
- Laplacian detector is
- Slope of the ramp and degree of blurring are
- One that is more sensitive to noise is
- Success of image segmentation is determined by its
- Second derivatives in image segmentation produces
- Thresholding formulation measures difference between
- Lines not assumed as thin as referred to as
- If all the regions are labeled with same intensity then it produces
- Electronic components determines the image\'s
- Segmentation is difficult for images that are
- First derivative approximation says that value at ramp must be
- Edge models are classified based upon their
- Gradient of an image is obtained through
- Examples of similarity approach in segmentation are
- What is the Euler number of the image shown below?
- What is the Euler number of the region shown in the figure below?
- The chain code for the following shape is given as:
- What does the total number of pixels in the region defines?
- What is the unit of compactness of a region?
- For which of the following regions, compactness is minimal?
- Compactness is insensitive to orientation
- Which of the following measures are not used to describe a region?
- We cannot use normalized area as one of the region descriptor
- What is the study of properties of a figure that are unaffected by any deformation?
- On which of the following operation of an image, the topology of the region changes?
- Topological properties don’t depend on the distance measures
- What is the Euler number of a region with polygonal network containing V,Q and F as the number of vertices, edges and faces respectively?
- The texture of the region provides measure of which of the following properties?
- Structural techniques deal with the arrangement of image primitives
- Which of the following techniques is based on the Fourier transform?
- The length of a boundary is one of the boundary descriptors
- Which of the following of a boundary is defined as the line perpendicular to the major axis?
- Which of the following is the useful descriptor of a boundary, whose value is given by the ratio of length of the major axis to the minor axis?
- The term, Curvature is defined as:
- If the boundary is traversed in the clockwise direction, a vertex point ‘p’ is said to be a part of the convex segment if the rate of change of slope at ‘p’ is:
- A point ‘p’ is said to be corner point, if the change of slope is less than 10 degrees
- Based on the 4-directional code, the first difference of smallest magnitude is called as:
- The order of shape number for a closed boundary is:
- What is the order of the shape number of a rectangular boundary with the dimensions of 3×3?
- Statistical moments are used to describe the shape of boundary segments quantitatively
- Which of the following techniques of boundary descriptions have the physical interpretation of boundary shape?
- Statistical moments is sensitive to rotation
(d).1,2,3…n
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