WND-CHARM: Multi-purpose image classification using compound image transforms
نویسندگان
چکیده
منابع مشابه
WND-CHARM: Multi-purpose image classification using compound image transforms
We describe a multi-purpose image classifier that can be applied to a wide variety of image classification tasks without modifications or fine-tuning, and yet provide classification accuracy comparable to state-of-the-art task-specific image classifiers. The proposed image classifier first extracts a large set of 1025 image features including polynomial decompositions, high contrast features, p...
متن کاملMulti-directional Multi-resolution Transforms for Zoom-Endoscopy Image Classification
In this paper, we evaluate the discriminative power of image features, extracted from subbands of the Gabor Wavelet Transform and the Dual-Tree Complex Wavelet Transform for the classification of zoom-endoscopy images. Further, we incorporate color channel information into the classification process and show, that this leads to superior classification results, compared to luminance-channel base...
متن کاملRegion Classification Based Image Denoising Using Shearlet and Wavelet Transforms
This paper proposes a neural network based region classification technique that classifies regions in an image into two classes: textures and homogenous regions. The classification is based on training a neural network with statistical parameters belonging to the regions of interest. An application of this classification method is applied in image denoising by applying different transforms to t...
متن کاملRobust still image coding using lapped transforms with block classification
Very efficient still image compression methods exist today, but most of them are not fit for transmission on error prone channels. One example of state-of-the-art robust image coding is the use of wavelet compression followed by forward error correction (FEC), as proposed by Sherwood and Zeger, that gives high coding efficiency but suffers from the incomplete decoding problem. An alternative to...
متن کاملImage Resolution Enhancement using Multi - wavelet Transforms with Interpolation Technique
Images with high resolution give better results for image processing applications. Image resolution enhancement is the process of manipulating an image so that resultant image is more suitable for specific application such as medical, agricultural, satellite image processing. This paper is based on image resolution enhancement by combination of SWT & DWT .In DWT main loss is on high frequency c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2008
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2008.04.013