Which of the following is false about Laplacian operator? The edge orientation information is efficiently retained in Laplacian. Laplacian is an isotropic filter i.e. it produces a uniform edge magnitude for all directions. Laplacian is also very sensitive to noise. Laplacian detects the edges at zero crossings.

Four Directional Laplacian Mask is given by

Which of the following statement is false? In Canny edge detection, non-maximum suppression is done along the direction of gradient but not along the direction of edge. DoG can be seen as a single non-separable 2D convolution or the difference of two separable convolutions. Canny edge detector is a linear filter because it uses the Gaussian filter to blur the image and then use linear filter to compute the gradient. DoG can be considered an approximation to the LoG.

Low-pass filtering effect           Sensitivity to noise           High computational complexity           Inability to detect diagonal edges

In a convolutional neural network, the ______________ operation helps to detect edges and textures within an image.

True/False) Under the Probabilistic formulation, L2 (Ridge) regularization imposes Gaussian prior on the coefficients, while L1 (Lasso) regularization imposes Laplacian prior.1 pointTrueFalse