Automatic recognition of different tissue types in histological images is an essential part in the digital pathology toolbox. Texture analysis is commonly used to address this problem; mainly in the context of estimating the tumour/stroma ratio on histological samples. i) Identify the best image descriptor with Tamura Features that can be used and elaborate on the manner in which the feature can be used to detect the tissues in the histological images. ii) Draft the complete algorithm/pseudocode for the system.

Computer Networking: A Top-Down Approach (7th Edition)
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Automatic recognition of different tissue types in histological images is an essential part in the digital pathology toolbox. Texture analysis is commonly used to address this problem; mainly in the context of estimating the tumour/stroma ratio on histological samples.

i) Identify the best image descriptor with Tamura Features that can be used and elaborate on the manner in which the feature can be used to detect the tissues in the histological images.

ii) Draft the complete algorithm/pseudocode for the system.

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