Evaluation of shape descriptors for shape-based image retrieval

Amanatiadis, Angelos; Kaburlasos, Vassilis G.; Γαστεράτος, Αντώνιος; Papadakis, Stelios

doi:10.1049/iet-ipr.2009.0246

Cited by 104 publications

(65 citation statements)

References 14 publications

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“…As such it is an ideal starting point for boundary based shape classification of otoliths and has been used for several other studies in this field (Abbasi et al 1999;Parisi-Baradad et al 2005;Jalba et al 2006). Research has shown that CSS encoding can be an effective and robust (to noise, scale and rotation) method of matching query images to database instances, when combined with global parameters such as circularity and eccentricity (Abbasi et al 1999;Amanatiadis et al 2011). …”

Section: Curvature Scale-space (Css)mentioning

confidence: 99%

Otolith shape and size: The importance of age when determining indices for fish-stock separation

et al. 2017

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Stock-separation of highly mobile Clupeids (sprat -Sprattus sprattus and herringClupea harengus) using otolith morphometrics was explored. Analysis focused on three stock discrimination problems with the aim of reassigning individual otoliths to source populations using experiments undertaken using a machine learning environment known as WEKA (Waikato Environment for Knowledge Analysis). Six feature sets encoding combinations of size and shape together with nine learning algorithms were explored. To assess saliency of size/shape features half of the feature sets included size indices, the remainder encoded only shape. Otolith sample sets were partitioned by age so that the impact of age on classification accuracy could be assessed for each method. In total we performed 540 experiments, representing a comprehensive evaluation of otolith morphometrics and learning algorithms. Results show that for juveniles, methods encoding only shape performed well, but those that included size indices held more classification potential. However as fish age, shape encoding methods were more robust than those including size information. This study suggests that methods of stock discrimination based on early incremental growth are likely to be effective, and that automated classification techniques will show little benefit in supplementing early growth information with shape indices derived from mature outlines.

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Section: Curvature Scale-space (Css)mentioning

confidence: 99%

Otolith shape and size: The importance of age when determining indices for fish-stock separation

et al. 2017

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“…The low frequency descriptors represent the information about the general features of the object while the high frequency descriptors represent the information about accurate details of the object. The number of created coefficients from the transformation is usually large, so just sufficient coefficients can be selected to describe the object features [10,11]. The FD procedure is:…”

Section: Feature Extraction Using Fourier Descriptorsmentioning

confidence: 99%

“…The centroid distance represents the location of the shape from the boundary coordinates, that makes the representation is invariant to translation [11]. Step4: Compute Fourier transforms values.…”

Section: Feature Extraction Using Fourier Descriptorsmentioning

confidence: 99%

Fourier Descriptors for Iris Recognition

Hamd¹,

Ahmed²

2017

IJCDS

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Automated identification of individuals is one of the most popular works today. Human verification, especially the iris pattern recognition is widely applied as a robust method for applications that demands high security. Many reasons are considered for choosing the iris in human verification, for example, the stability of iris biometric features throughout human life and unaffected of its patterns by human genes (genetic independency). This paper presents a new contribution in iris recognition biometric system. It uses Fourier descriptors method to extract the iris significant feature for iris signature representation. The biometric system is proposed and implemented using four comparative classifiers. It involves four sequential processes: the image enhancement process; iris feature extraction and patterns creation process; template construction process; and finally, the recognition and classification process. The mathematical morphology operations and canny edge detector are both applied for best outer/inner boundary localization procedure. The system satisfied 100% accuracy result regarding iris-pupil boundary localization for CASIA-v1and CASIA-v4 dataset. Also, when the identity of 30 persons were verified, the maximum matching result was %96.67 for Back propagation and lowest rate was %83.5 for Radial basic function.

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“…The texture based methods [7,8,9] employ texture features including the gray level co-occurrence matrix, wavelet transform, Markov random field, local binary pattern, etc. The shape based techniques [10,11,12] adopt shape features including boundary chain code, Fourier descriptor, shape moments, etc. For the shape moments related methods, both Hu invariant moments and Zernike moments are used very popularly.…”

Section: Introductionmentioning

confidence: 99%

Contour Points based P2P Algorithm for Shape Matching and Image Retrieval

Zhao¹,

Ji²,

Sun³

et al. 2014

Appl. Math. Inf. Sci.

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Based on the extracted contours of objects from images, one point to point (P2P) method is proposed for shape matching and image retrieval. Taking contour of one object as reference, contour of another object is transformed to reach their best match, during which the similarity is evaluated by comparison of two corresponding sets of contour points. Translation, scaling and rotation are all considered in transformation, thus the algorithm is robust to objects with different position, size and posture. The experimental results are presented and compared with those from two popular shape based techniques, Hu invariant moments and Zernike moments. Performance of our new approach has proved its efficiency in both matching accuracy and computational expense, and it can be used in related applications together with the other kinds of shape features or even color features, texture features, etc.

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Evaluation of shape descriptors for shape-based image retrieval

Cited by 104 publications

References 14 publications

Otolith shape and size: The importance of age when determining indices for fish-stock separation

Otolith shape and size: The importance of age when determining indices for fish-stock separation

Fourier Descriptors for Iris Recognition

Contour Points based P2P Algorithm for Shape Matching and Image Retrieval

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