Consistent Line Clusters for Building Recognition in CBIR
نویسندگان
چکیده
This paper introduces a new mid-level feature, the consistent line cluster, for use in content-based image retrieval. The color, orientation, and spatial features of line segments are exploited to group them into line clusters. The interrelationships among different clusters and the intrarelationships within single clusters are used to recognize and roughly locate buildings in photographic images. Experiments are performed on a database of color images of outdoor scenes.
منابع مشابه
Building Classification
Object recognition and image classification has become an area of intense focus in machine learning and pattern recognition. Building recognition and classification rise into attention in the area of urban reconstruction where a number of images of buildings are used. We first compare different classification approaches to discriminate the class building from the class non-building. The images ...
متن کاملPersian Handwritten Digit Recognition Using Particle Swarm Probabilistic Neural Network
Handwritten digit recognition can be categorized as a classification problem. Probabilistic Neural Network (PNN) is one of the most effective and useful classifiers, which works based on Bayesian rule. In this paper, in order to recognize Persian (Farsi) handwritten digit recognition, a combination of intelligent clustering method and PNN has been utilized. Hoda database, which includes 80000 P...
متن کاملEarthquake induced Deterministic Damage and Economic Loss Estimation for Kolkata, India
The city of Kolkata, the State Capital of West Bengal is jolted by earthquakes time and again from the tectonic regimes of the Central Himalaya, highly seismogenic Northeast India and the active tectonics of Bengal Basin which is a pericratonic tertiary basin on which the City is located. Earthquake disaster mitigation and management necessitates seismic hazard assessment for the generation of ...
متن کاملEvolución de descriptores estadísticos de superficie de imágenes por programación genética para el reconocimiento de imágenes por CBIR: una primera aproximación
The steady increase of Internet in our society becomes more evident against the crude fact that more than a half of the internet infor125 Research in Computing Science 116 (2016) pp. 125–134; rec. 2016-03-21; acc. 2016-05-12 mation consists of images. This situation poses an open problem, how to recognize images automatically and unsupervised. The methodology for recognizing images by means of ...
متن کاملSOME SIMILARITY MEASURES FOR PICTURE FUZZY SETS AND THEIR APPLICATIONS
In this work, we shall present some novel process to measure the similarity between picture fuzzy sets. Firstly, we adopt the concept of intuitionistic fuzzy sets, interval-valued intuitionistic fuzzy sets and picture fuzzy sets. Secondly, we develop some similarity measures between picture fuzzy sets, such as, cosine similarity measure, weighted cosine similarity measure, set-theoretic similar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002