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.

You train a ConvNet on a dataset with cats, dogs, birds, and other types of animals. You try to find a filter that strongly responds to horizontal edges. You are more likely to find this filter in layer 6 of the network than in layer 1. True/False?

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

Which statement is true?Group of answer choicesConvolutional neural networks tend to only have 10 layers.If the feature response value is large, then that portion of the image does not look like the filter.The convolutional kernel can only take all-positive or all-negative values at a time.If there is no pattern to find, the feature response is a weighted average with the result of blurring the image.

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.

What is linear filtering? 1 pointIt is a standard way to filter textIt is a standard way to add text dataIt is a standard way to filter Images using convolutionNone of the above