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Feature extraction simplifies the amount of information needed to describe the properties of an image accurately. This paper measures the performance of a CBIR system based on texture feature against combination of both color and texture feature. A Gray Level Co-occurrence Matrix is calculated for computing the texture feature of an image. Using these textual parameters similar images are extracted...
Person re-identification plays a key role in video monitoring. Aiming for current person re-identifications for numerical complexity and extraction difficulty, we propose a simple and fast multi-feature. On the basis of analysis of difference excitation and orientation of Weber Local Descriptors, showing graphic texture features by difference excitation of circular field, showing graphic edge orientation...
In order to overcome the difficulty of image automatic registration with different rotations and resolutions, this paper proposes a new method for automatic image registration. In the method, Harris-Laplace detector is applied to extract image features, the scale space projection based on scale-invariance of Harris-Laplace is proposed, then, a feature space on the projection information in the direction...
This paper proposes a new simple method of Discrete Cosine Transform (DCT) feature extraction that is used to accelerate the speed and decrease the storage needed in the image retrieving process. Image features are accessed and extracted directly from JPEG compressed domain. This method extracts and constructs a feature vector of histogram quantization from partial DCT coefficient in order to count...
This paper describes a project that implements and tests a simple color histogram based search and retrieve algorithm for images. The study finds the technique to be effective as shown by analysis using the RankPower measurement. The testing also highlights the weaknesses and strengths of the model, concluding that the technique would have to be augmented and modified in order for practical use.
In this paper, a feature-level fusion approach for improving the efficiency of ear image verification is proposed. SIFT is used to extract the features on a ear images at different pose, which is then merged according to a fusion rule to produce a single feature called the fused template. The similarity of SIFT extracted features of the live image and the enrolled user template in the database is...
The paper presents a new approach for content based retrieval of images. The algorithm uses information sampled from around detected corner points in the image. A corner detection approach based on line intersections has been employed using Hough transform for line detection and then finding intersecting, near intersecting or complex shaped corners. As the affine transformations preserve the co-linearity...
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