3-Level Techniques Comparison based Image Recognition
نویسندگان
چکیده
منابع مشابه
Evaluation of Image-Based Landmark Recognition Techniques
Recognizing landmarks in sequences of images is a challenging problem for a number of reasons. First of all, the appearance of any given landmark varies substantially from one observation to the next. In addition to variations due to different aspects, an illumination change, external clutter, and changing geometry of the imaging devices are other factors affecting the variability of the observ...
متن کاملA comparison of image processing techniques for bird recognition.
Bird predation is one of the major concerns for fish culture in open ponds. A novel method for dispersing birds is the use of autonomous vehicles. Image recognition software can improve their efficiency. Several image processing techniques for recognition of birds have been tested. A series of morphological operations were implemented. We divided images into 3 types, Type 1, Type 2, and Type 3,...
متن کاملChinese-Chess Image Recognition by using Feature Comparison Techniques
In this paper, we develop a feature comparison method for the Chinese-chess object by using the features comparison based on input image and database. Features are generated by calculating the distance between the contour of the character and the centre of the chess object. In this paper, the noise filter, object extraction, normalization, feature calculation (FC) and maximum energy slop (MES) ...
متن کاملSuperPixel based mid-level image description for image recognition
This study proposes a mid-level feature descriptor and aims to validate improvement on image classification and retrieval tasks. In this paper, we propose a method to explore the conventional feature extraction techniques in the image classification pipeline from a different perspective where mid-level information is also incorporated in order to obtain a superior scene description. We hypothes...
متن کاملLevel set-based histology image segmentation with region-based comparison
Automated histological grading of tissue biopsies for clinical cancer care is a challenging problem that requires sophisticated algorithms for image segmentation, tissue architecture characterization, global texture feature extraction, and high-dimensional clustering and classification algorithms. Currently there are no automatic image-based grading systems for establishing the pathology of can...
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: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/17052-7241