The complete Gabor wavelet transform has the following properties. This paper presents an analytical study of the complete transform of improved Gabor wavelets (IGWs), and discusses its application to the processing and interpretation of seismic signals. Properties of an improved Gabor wavelet transform and its applications to seismic signal processing and interpretation © 2016 Society of Cosmetic Scientists and the Société Française de Cosmétologie.
Convolution betweet image and gabor wavelet matlab code skin#
Gabor wavelet transform can also be potentially useful for face recognition (with different orientation and expressions) and skin cancer/disease diagnosis. We have developed an effective skin image retrieval method based on Gabor wavelet transform, that it is useful for retrieving different types of images, namely digital colour face images, digital colour skin cancer and skin disease images, and particularly greyscale skin capacitive contact images. Gabor wavelet transform can also work well on facial images with different expressions and skin cancer/disease images. Although Gabor wavelet transform is slower compared with other image retrieval techniques, such as principal component analysis (PCA) and grey-level co-occurrence matrix (GLCM), Gabor wavelet transform is the best for retrieving skin capacitive contact images and facial images with different orientations. The results show that the Gabor wavelet texture features can work efficiently on different types of skin images. In this study, texture feature is used for retrieving skin images, and Gabor wavelet transform is used for texture feature description and extraction.
In a typical CBIR, images are retrieved based on colour, shape, texture, etc. Content-based image retrieval (CBIR) is a useful technology to retrieve stored images from database by supplying query images. The aim of this study was to develop an effective skin image retrieval technique using Gabor wavelet transform, which can be used on different types of skin images, but with a special focus on skin capacitive contact images. We have used many skin imaging techniques, including the recently developed capacitive contact skin imaging based on fingerprint sensors.
Skin imaging plays a key role in many clinical studies.
Skin image retrieval using Gabor wavelet texture feature.
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