This paper presents an image processing technique for segmentation of optic disc and cup based on adaptive thresholding using features from the image. The proposed algorithm uses obtained image, such as mean standard deviation, to remove information red green channel a fundus obtain which contains only nerve head region in both channels. is segmented respectively. threshold determined smoothed histogram preprocessed results are compared with images that marked by doctors. accuracy good...

Melanoma can prove fatal if not diagnosed at early stage. The accuracy of identification skin cancer from dermoscopic images is directly proportional to the lesion segmentation. This work proposes a segmentation method using clustering technique. use smoothing filter and area thresholding competent enough sufficiently reject noisy pixels finally segmented image. results obtained proposed algorithm has been compared with annotated images. have expressed in form overlapping score correlation...

Diabetic Retinopathy and Macular Edema are diseases that affect vision eventually may lead to blindness. Early detection is a must prevent the progression of disease imploring need for effective computer-aided diagnostic techniques. In following research paper, robust method has been proposed segment hard exudates from digital, color fundus images using anisotropic diffusion adaptive thresholding followed by support vector machine classification. The geometrical, shape orientation features...

Diabetic Macular Edema affects vision and eventually may lead to blindness. Early detection is vital prevent the ramifications of disease requiring need for effective computer-aided diagnostic techniques. A robust method proposed in following paper segment exudates from fundus images using a support vector machine classification. This followed by macula morphological features comparing segmented against specially created regions around macula. The algorithm further grades image according how...

The quality and freshness of a fish sample is mainly affected due to the handling storage conditions during post harvesting period. retention time medium are two main factors affecting quality. This paper presents an image processing based method for automatic efficient segmentation gills from which can be used validation determination any pesticide under test. implemented algorithm has produced maximum correlation 92.4% with ground truth results obtained experts. fast simple.

Optic disc segmentation is a crucial step in diagnosis of various ocular diseases like Glaucoma and Diabetic Retinopathy. This work proposes technique for automatic detection optic from the fundus images using edge based active contour fitting method. The proposed has used image processing techniques such as smoothing filters removal blood vessels, morphological operations to correctly segment reject false positives, snake model boundary. results obtained are compared with ground truth...

Melanoma is one of those skin cancers which can be fatal. So, the segmentation lesions from digital images becomes a crucial step in analysis and diagnosis cancer using image processing techniques. This work proposes technique for automatic lesion dermoscopic adaptive threshold making process invariant robust. The statistical features like standard deviation mean are used to preprocess segment completely an manner. use techniques, such as average filtering removal hair scales, mathematical...

Melanoma is a fatal skin cancer. Correct localization and segmentation of lesion decisive in proper detection cancer from dermoscopic images. This work proposes an image processing technique for automatedlesion using region growing technique. Low pass filtering techniques like median filter, are employed to remove the edges generated by hair, which reduce accuracy correct segmentation. Multi-threshold geometrical features as solidity extent makes proposed method adaptive. The ground truth,...

Exudates are one of the abnormalities present on retina which used for identification diseases like Diabetic Retinopathy and Macular Edema. There arises a need automated correct segmentation exudates from digital fundus images. This paper proposes an computer vision technique efficient The proposed method segments using adaptive intensity based threshold is selected by strategically combining first order statistical parameters local thresholding method. correctly detects images with average...

Diabetic Retinopathy is one of those eye diseases which may cause permanent loss vision if not treated at an early stage. The current paper proposes algorithmic rule for detection red lesions and grading the severity a fundus image depending on its location in image. Some significant deciding objects like optic disc macula are segmented using adaptive intensity-based threshold, geometrical features, k-means clustering morphological operations. Imaging techniques color normalization, median...

Accurate segmentation of optic disc from fundus images is an essential step to develop automatic screening device for eye pathologies. Automatic and correct non-uniformly illuminated or abnormal/affected still a challenging issue. The proposed work presents computer vision based method variety normal, affected blurred/non uniform images. methodology involves separation super pixels followed by removal false positives like reflections, exudates, choroid vessels using analysis geometrical...

Commuting and other daily tasks are some of the biggest problems faced by visually impaired people. It becomes extremely difficult for people to travel without any assistance do chores. The proposed method presents an automated efficient way tackle these image processing based identification familiar places like Restrooms, Pharmacies Metro train stations. Symbols identified from point feature matching using template detection method. A test is compared with templates accordingly output...

Localization of macula from fundus image plays an important role to design automated screening tool for detection retinal diseases. The similar color and texture red lesions act as a bottleneck in accurate localization the image. This paper presents computer vision algorithm efficient low contrast diabetic retinopathy affected images. A statistical based model is used detect specified region which designed using geometric features optic disc. performance proposed was tested on 200...

Nowadays, the task of preservation personal data present in public audio-visual records becomes more important. This paper describes an image processing method for de-identification visual based on a facial image. There are many primitive methods with high robustness but quality de-identified is usually very poor. The advantages this proposed include especially good results original and possibility partial reconstruction from data. main objective has been achieved by using Active Appearance...

The Macula is an important part of the retina human eye which responsible for sharp central vision. Accurate and automatic detection macula from fundus images essential step to develop automated screening tool ocular pathologies. proposed work presents imaging method in automatically. includes a strategic windowing based approach accurate macula. Instead searching whole image, search region considered with help optic disc then detected that using double method. Normal affected local hospital...

Melanoma is one of the fatal skin cancers. Lesion segmentation a crucial step in analysis and diagnosis cancer from digital images. This work proposes technique for automatic lesions dermoscopic images using adaptive threshold. The use many image processing techniques, such as average filtering removal hair scales, mathematical morphology to reject false positives, texture geometrical features correctly segment lesion, have been successfully implemented accurately lesion results proposed are...